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Remote Data Engineering & Analytics Jobs

RemoteMatch helps data professionals find verified remote positions in data warehousing, analytics engineering, and streaming pipelines. Review cloud data architectures and salary bands before applying.

Browse remote data opportunities modeling high-volume transaction feeds, real-time analytics, and modern cloud warehouses.

Relevant skills:PythonSQLdbtSnowflakeETLPostgreSQL

Data & Analytics Listings

Showing 2377–2400 of 2595 verified active positions

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All Generation Tech

Data Engineer

Full-time

AGT Software Partners specializes in designing secure, scalable, and AI-powered digital solutions for enterprises worldwide. Our expertise spans Cloud Engineering, Custom Software Development, DevOps and Automation, Data and Analytics, Cybersecurity, and Low Code platforms. We partner with global industries - including Fintech, Healthcare, Insurance, Education, and Retail - to deliver enterprise-grade technology that accelerates digital transformation and drives operational efficiency. We are looking for a skilled Data Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining high-quality data pipelines and workflows, ensuring reliable and accurate data for our Data Warehouses. This is an exciting opportunity to work with cutting-edge cloud technologies and data tools in a collaborative environment. Time Zones: Sydney, AUS & London Duration: 4-6 Months Experience: 7years+ What You'll Do: Design, develop, and maintain data pipelines for Data Warehouses. Build scalable solutions using AWS and GCP. Write efficient and optimized SQL, including analytical and window functions. Transform and model data using dbt and BigQuery. Orchestrate workflows using Airflow. Ensure data quality and implement testing for pipelines. Work in an Agile Delivery environment using JIRA and Confluence. Follow CI/CD best practices using GitHub or Bitbucket. What We're Looking For: Strong proficiency in AWS and GCP. Hands-on experience delivering data pipelin

India
Full-time

Role Overview The Data & Analytics Engineer is Collectiv ’s most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery capabilities. This role closes the gap between backend data platform work and front-end analytics, enabling a single consultant to take a client from raw data ingestion through to polished, insight-ready dashboards. You design and implement modern lakehouse architectures on Microsoft Fabric and Databricks, build performant ELT/ETL pipelines, develop rich semantic models, and deliver complex Power BI reports, all while acting as a trusted technical advisor to enterprise clients. You thrive on translating ambiguous business requirements into scalable, well-documented technical solutions and are equally comfortable deep in Spark transformations or fine-tuning DAX formulas. This role sits at the intersection of Collectiv ’s Data Engineering and Senior Power BI Consultant practices and is designed for experienced professionals who refuse to choose a lane. Key Responsibilities Data Platform & Lakehouse Engineering Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory) and Databricks (Spark, Delta Lake, SQL Warehouses) Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products Translate busin

US
Full-time

Join the company that’s building the telemetry infrastructure for the AI era. At Cribl , we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next. We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd. Why You’ll Love This Role At Cribl , we are evolving our data organization from a centralized service desk into a dynamic, product-led enablement engine. We are seeking an Analytics Lead to act as our internal data consultant and product owner. Operating dynamically across multiple business units (GTM, People, Finance, etc.), you will take on ambiguous, complex business challenges and design self-serve data solutions that drive action. You combine the strategic rigor of a management consultant with the technical chops of a senior data practitioner. You won’t just take requests; you will own the “Data UX” for our internal stakeholders. You will go deep with two or three named functions rather than

US

We are seeking a Technical Recruiter with deep expertise in our core capability areas, including but not limited to Data Engineering, Analytics, and AI hiring. This role requires exceptional hands-on sourcing capabilities, a passion for non-traditional and alternate sourcing channels, and the ability to partner closely with hiring managers and senior business leaders. The ideal candidate has a strong background in full-cycle hiring within large system integrators or global services organizations and brings a consultative, data-driven approach to talent acquisition. Originally posted on Himalayas

US
Vein Standard Metals

Data Engineer

Full-time

Job Description: As a Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and systems to support data processing, analysis, and visualization. You will collaborate closely with cross-functional teams to understand data requirements, optimize data workflows, and ensure data quality and reliability. Responsibilities: 1. Data Pipeline Development: Design, build, and optimize data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses or data lakes, ensuring scalability, reliability, and efficiency. 2. Data Modeling : Develop and maintain data models and schemas to support business analytics, reporting, and machine learning applications, ensuring data integrity, consistency, and performance. 3. Data Integration: Integrate data from disparate sources, including databases, APIs, streaming platforms, and third-party systems, to provide unified views of data for analysis and reporting purposes. 4. Data Quality Assurance: Implement data quality checks and monitoring processes to identify and rectify data anomalies, inconsistencies, and errors, ensuring high data quality and reliability. 5. Performance Optimization: Optimize data processing and query performance through indexing, partitioning, and caching techniques, leveraging distributed computing frameworks and database technologies. 6. Infrastructure Management: Manage and maintain data infrastructure components, including databases, dat

Worldwide
Contract

About Yaqeen Institute Yaqeen is a nonprofit on a mission to pioneer Islamic research in creative, cutting-edge formats tailored to meet people where they are. We work to dismantle doubts through well-researched truths, nurture conviction by strengthening belief with practical, spiritual guidance, and inspire contribution by reviving our tradition of faithful changemakers, insha’Allah . We’re seeking like-minded professionals who embody Islamic values including sincerity, excellence, and compassion, and want to make a difference in the faith of people worldwide. Role Overview We are seeking a seasoned Data Engineer to join our Engineering team for 6 months as a contractor. You will design, build, and operate the data platform that powers analytics, research, and product decisions across the organization. This is a hands-on role for someone who is equally comfortable modeling complex datasets, engineering resilient pipelines, and managing the underlying cloud infrastructure. You will own systems from ingestion and transformation through to the warehouse layer, and you will set the standards that keep our data trustworthy. Beyond building, you will partner closely with analytics, product, and platform teams to define how data moves through the organization and to raise the bar for reliability, quality, and governance. Key Responsibilities Data Modelling & Transformation Model and structure data for analytical and operational use, owning the transformation layer and its tool

Worldwide
Elfonze Technologies

SAP ABAP S/4 HANA and ODATA

Full-time

This is a remote position. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Expertise in ABAP 7.4 newer version of coding standards Experience in S/4 HANA ODATA - Advanced Programming skills Use feedback and reflection to develop self-awareness, personal strengths and address development areas. Proven track record as an SME in chosen domain. Ability to come up with Client POC/POV for integrating/increasing adoption of emerging Tech. like Blockchain, AI et al with the product platform they are associated with. Mentor Junior resources within the team, conduct KSS and lessons learnt. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review. Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read si

US

Role Title: At-Home Video Recorder Location: Remote - experts based in Latin America and the Caribbean. Selected countries include: Argentina, Bahamas, Barbados, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, Jamaica, Mexico, Panama and Uruguay. Job Summary Get paid from home in this fully remote opportunity by recording your everyday household chores with your cellphone. Simply film your normal daily activities from a first-person point of view and earn money. [Link to video] Key Responsibilities: Capture household tasks using your smartphone during specified physical tasks. Record synchronized video footage. Complete a device compatibility check and an AI-enabled interview during onboarding. Required Skills and Qualifications: Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or later. Must be comfortable wearing a phone mount equipment shipped to you. Physical capability to perform repetitive movement tasks safely. Eligibility to work from above mention country. Compensation Structure: You will be paid per hour of recorded video that you submit that is in line with project guidelines. Start Timeline & Availability: Roles are being filled with immediate availability, with your starting time dependent on the shipping time of headstrap equipment to your home. Equipment Requirements: Mobile: You'll need a smartphone to complete this project. You'll use it to record yourself while performing the required tasks. Head S

Worldwide
TheHiveCareers

Data Engineer

Full-time

Job Type: Full-Time Location: Barbados (Remote) Job Summary: A Data Engineer is responsible for designing, building, and maintaining data infrastructure to support analytics, reporting, and business intelligence. Job Description Data Pipeline Development Build and optimize data pipelines for efficient extraction, transformation, and loading (ETL). Database Management Design and maintain databases, ensuring scalability and reliability. Big Data Processing Work with large datasets using tools like Hadoop, Spark, and Kafka. Cloud Integration Implement data solutions on cloud platforms like AWS, Azure, or Google Cloud. Data Governance & Security Ensure data integrity, compliance, and security best practices. Collaboration Work with data scientists, analysts, and business teams to support data-driven decision-making. Required Skills Proficiency in SQL, Python, Scala, or Java for data manipulation. Experience with big data technologies (Hadoop, Spark, Kafka). Knowledge of cloud computing platforms (AWS, Azure, GCP). Strong understanding of data modeling and database design . Expertise in ETL processes and workflow automation. Ability to optimize data infrastructure for performance and scalability . Familiarity with data governance and security protocols . Experience within banking industry is an asset. Educational Requirements A bachelors degree in computer science, software engineering, or a related technical field. A masters degree can be beneficial for senior roles. Certific

Worldwide
Full-time

Our client is an award-winning offshore law firm, this new role will be attractive to someone with experience in systems, policies, and procedures relevant to compliance in a non-AML/CFT requirement globally. It has 4 main strands: To act as the Data Protection Coordinator, ensuring that all aspects of data protection are compliant with the local regulatory requirements To manage aspects of our wider operational risks which may be identified from time to time To maintain the risk management framework to ensure it remains relevant and effective To assist with all initiatives designed to increase awareness, knowledge and understanding of risk across the firm. ICA or other relevant professional qualifications would be a distinct advantage. Originally posted on Himalayas

Worldwide
SCIENSA INOVACAO E ESTRATEGIA DIGITAL LTDA

Data Product Lead / Knowledge Engineer

Full-time

We are expanding our engineering team! 🚀 Data Product Lead / Knowledge Engineer: Transform knowledge into an intelligent platform. About the challenge: We are looking for a Data Product Lead / Knowledge Engineer to structure the knowledge model that will support all platform intelligence, transforming business methodologies into scalable semantic models. 🎯 Responsibilities: Develop canonical data models. Structure taxonomies, ontologies, and Knowledge Graphs. Define data contracts and governance. Ensure versioning and quality of the knowledge model. Connect business experts and technical teams for platform evolution. ✅ What we are looking for: Experience with data and knowledge modeling. Knowledge of RDF, OWL, graphs, and ontologies. Experience with Data Governance and Data Contracts. Ability to structure complex domains. Analytical and organized profile. 🧠 Behavioral profile: We look for someone with good communication; systemic view; collaborative technical leadership; mentoring capability; pragmatic profile; ease in working with multiple teams and different technological contexts. Additional information ⭐ Nice to have: Experience with Knowledge Graph in production; Knowledge of Computational Linguistics or Knowledge Engineering. 💬 Why this position is different: High technical complexity environment; Technical growth opportunity; Engineering best practices culture; Collaborative and oriented teams.

Worldwide
Infotree Global Solutions

Data Engineer

Full-time

Role: Data Engineer (Transport Focus) Seniority: Regular, Regular+, or Senior Client: A technology company building and optimising a highly scalable Data Mesh that powers cross-product use cases across their platform. Client Location: Ireland Work Location : Poland Project Description: Development and optimisation of a Data Mesh supporting use cases across various products within the client’s platform. The work involves building and maintaining large-scale data processing infrastructure and data transformation logic. This is a critical, hands-on engineering role focused on building and optimising ahighly scalable and reliable Data Mesh that powers cross-product use cases across the platform. The engineer will build and support large-scale data processing infrastructure and transformation logic. Tech Stack: Core Technologies: Apache Spark – deep, proven experience required, including: Deployment, management, and cost optimisation of Spark clusters Writing high-performance Spark ETL jobs Ideally, experience writing to large analytical tables (e.g., Apache Iceberg) Infrastructure as Code (IaC): Terraform, experience with AWS CI/CD: Jenkins Testing: Unit, Integration, and End-to-End testing Team Structure: The overall project is quite extensive; however, this particular team consists of 6 FTEs: • 3x Data Engineers • 1x Data Operator • 2x Python Developers Working Hours: EU timezone Language Level: Excellent verbal and written communication skills required – ability to clearly com

Worldwide
Banco Plata, S.A., Institución de Banca Múltiple

DataBase Administrator

Full-time

Cloud Services Team: We are looking for a skilled Database Administrator with proven experience in designing, implementing, and managing large-scale, high-performance database systems. In this role, you will be responsible for ensuring the reliability, scalability, and security of mission-critical databases across multiple technologies and environments. Challenges that await you: Architect and optimize database infrastructures to support large-scale, high-traffic workloads. Administer and maintain clusters across PostgreSQL Design and operate backup, recovery, and disaster recovery strategies, ensuring business continuity. Automate operational processes, including scaling, monitoring, and maintenance, using infrastructure-as-code (Terraform,OpenTofu, CloudFormation), Ansible, Gitlab CI Optimize performance at every layer: schema design, query execution, indexing, caching, and storage. Configure and manage replication and sharding strategies for high availability, fault tolerance, and geo-distribution. Ensure compliance with SOC 2, HIPAA, GDPR, and enforce database security best practices. What makes you a great fit: 3+ years of hands-on experience as a DBA in production-grade, distributed environments. Deep knowledge of PostgreSQL Proven expertise in managing databases across major cloud platforms ( Amazon Web Services , Google Cloud Platform , Azure, Yandex Cloud ) Advanced expertise in SQL query tuning, schema optimization, and indexing strategies. Strong experience with re

EU/EEA

This is a remote position. We’re looking for Quality Assurance/ Reports Data Analyst / Compliance Specialist to join our A-TEAM! What you need to do:​ Design and implement compliance programs and policies specific to the sales department. Perform regular audits to assess agent compliance with policies, requirements, and regulations. Identify gaps, report findings, and recommend corrective actions to relevant team members. Monitor sales processes, practices, and documentation to ensure adherence to established compliance standards Analyze sales data, reports, and metrics to identify potential issues or patterns that require attention. Educate sales teams on obligations, policies, and best practices. And conduct training sessions with the team. Work closely with management team to integrate compliance and quality objectives. Requirements Minimum requirements: ✅At least 3 years accumulated experience as a Quality Assurance Specialist/ Reports Analyst / Compliance Specialist in the BPO industry specifically handling/monitoring SALES accounts. ✅Extensive knowledge with reporting, auditing and analytics ✅Extensive knowledge in designing, creating, and implementing SOPs and compliance programs for SALES teams. ✅Strong communication skills ✅Exemplary skills in Microsoft Excel and Google Sheets. ✅Experience in handling several CRMs ✅Must have work equipment ready ✅Minimum 50mbps internet connection and preferably with internet back-up option Benefits PERMANENT work from home AU Mornin

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Banco Plata, S.A., Institución de Banca Múltiple

Data Scientist [Integrated Risk Management]

Full-time

We are looking for a Data Scientist for our Integrated Risk Management team to help develop risk models and analytical frameworks that support key business decisions across credit, financial, and operational risk domains. In this role, you will work on complex quantitative challenges, build predictive and diagnostic models, and partner with stakeholders across the organization to improve risk visibility, portfolio performance, and decision-making. Challenges that await you: Develop and implement advanced statistical models for our credit portfolio at both per-account and aggregate levels to predict behavior and optimize performance Create sophisticated Net Present Value (NPV) models and their core components on a per-account basis for our various credit products Model critical financial metrics, including FX position, liquidity, reserves, and other balance sheet items to support robust financial management Analyze and model not only expected outcomes but also their deviations, distributions, and uncertainty, recognizing the inherently probabilistic nature of financial and risk data Design diagnostic and forecasting models that help identify, monitor, and mitigate risks across the organization Partner with cross-functional stakeholders to investigate model performance, understand deviations from expectations, and improve decision-making processes Contribute to the development of quantitative methodologies and risk frameworks across credit, financial, and operational risk domai

Worldwide

Freelance and Work from Home With FreeUp ! Hi! We're FreeUp ! FreeUp is a freelance marketplace dedicated to connected business owners with talented freelancers from all over the world. We believe that freelancing is the future of business and we're building the best community for freelancers possible. Want to learn more about FreeUp ? Check out our website here, our Glassdoor reviews here, or read this feature in the LA Times about how we're the freelance platform everyone wants to be part of. About Data Entry Jobs on FreeUp Data Entry freelance jobs posted daily Hourly rates can range from $8-15/hour, depending on experience and location Set your own work from home schedule Work and earn as much as you want freelancing as a data entry specialist. 24/7 support for freelancers Webinars, resources, and a Slack Workspace to help you build your freelance business A dedicated internal team who is here to support you and help you succeed! Data Entry Freelancer Application Requirements Extensive experience in data entry and management. Extensive experience in Excel, Google Docs and other similar data management tools Strong English and communication skills Excellent internet Must be able to respond to clients within one business day. How to Apply to Be a FreeUp Data Entry Freelancer Fill out the application form. Take the FreeUp Freelancers Course Quick Zoom video interview with a member of the FreeUp team Once you're in our network, start applying to sales freelance jobs and make

Worldwide

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world. We are seeking a highly skilled professional to join our team, focusing on advancing through innovative AI solutions. The successful candidate will develop and refine Large Language Models (LLMs) to extract actionable insights, improve business decision-making, and optimize prompt design for more accurate outputs. Additionally, the role includes creating scalable and robust LLM/RAG frameworks tailored to customer service scheduling, fostering innovation and maintaining a competitive market edge. This role is 100% Remote, Work from Home based. Responsibilities: Own the full LLM pipeline from data preparation to production real case usage. Design, iterate and optimize prompts (zero-/few-shot, chain-of-thought, tool-calling, etc.) to maximize model utility and safety across products and languages. Build and maintain Retrieval-Augmented Generation (RAG) QA/search systems that connect to multi-source knowledge bases. Familiar wit

Worldwide
Full-time

We are knowmad mood! We are a leading digital transformation company, constantly evolving and at the forefront of technology. We were born to drive real change through innovation and sustainable development, with the mission of bringing value to clients and boosting our talent. Composed of over 3,000 creative, digital, and innovative people connected by a purpose and capable of generating connections with people worldwide. A responsible, flexible team with a high capacity to adapt to the needs of our clients and the market, while providing value, vision, creativity, expertise, professionalism, and a passion for technology in every project. The values that set our course and guide us toward excellence are collaboration, innovation, commitment, fun, and trust. This time, we are looking for a Data Analyst in LATAM to join our project in the insurance sector. Duties and Responsibilities: Provide functional and technical support to users of analytics and reporting tools. Participate in the construction and evolution of new modules and functionalities. Manage operation and maintenance tasks for analytical data products. Design and optimize data models for analysis and visualization environments. Develop and maintain dashboards and reports in Power BI. Work with Snowflake for information extraction, querying, and management in Data Warehouse environments. Elab

Worldwide
Busigence Technologies

Fresher - Big Data Engineer

Full-time

This is a remote position. Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions. Fresher - Big Data Engineer Team: Engineering Location: Remote Relevant Exp: 0-2 Years Background: Been there-Done that Compensation: Above industry standards Requirements This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsive Remote position (work-from-anywhere) Immediate joiners must apply Data Engineering Experienced - course/competitions/internships/job (<2 years) Competitive compensation ************ | MUST HAVE | ************ 1. Code in Python3 - Numpy? 2.Code in Python3 - Pandas? 3.Developed data engineering pipelines on real-world problem (not just academic projects)? 4.Implemented advanced SQL queries 5.Developed complex logics in Python3 6.Confidence to learn PySpark3 within a month?(we shall guide but won't spoon-feed) OR Confidence to learn Kafka3 within a month? (we shall guide but won't spoon-feed) =========================================== We are offering one of the most challenging & exc

US

This is a remote position. Job Title: Database Architect (IRS MBI Clearance Required) Location: Remote Duration: Full-Time IRS MBI Clearance required. We are seeking an experienced Database Architect to design, build, and maintain secure, scalable, and high-performance database solutions for a federal project. This role involves creating efficient database structures, ensuring data security, optimizing performance, and supporting seamless integration with applications and services. The ideal candidate will have strong technical skills, excellent problem-solving abilities, and experience working in secure environments. Key Responsibilities: Design and implement database architectures to support mission-critical systems. Ensure database security, compliance, and performance standards are met. Optimize database queries, indexing, and overall performance. Develop and manage backup, recovery, and disaster recovery procedures. Work closely with development and infrastructure teams for smooth integration. Monitor, troubleshoot, and resolve database performance and availability issues. Required Skills & Qualifications: Proven experience with relational and/or non-relational databases (e.g., Oracle, PostgreSQL, SQL Server, MongoDB). Strong knowledge of database design, security, and optimization best practices. Experience with data modeling, ETL, and data integration. Ability to work in secure and compliance-driven environments. IRS MBI Clearance is required. Originally posted on

US

This is a remote position. Role: Sr. Data Engineer & Palantir Specialist – IRS Programs Key Responsibilities: Develop & optimize data models using Palantir Gotham & Foundry for IRS initiatives. Design ETL/ELT pipelines to integrate large-scale financial and tax data. Build risk assessment models for fraud detection & compliance. Create BI dashboards (Tableau, Power BI) for IRS decision-makers. Collaborate with IRS stakeholders, data engineers, and analysts. Qualifications: 5+ years in data engineering, modeling, and analytics. Expertise in Palantir Gotham, Palantir Foundry, SQL, Python, Databricks . Experience with IRS programs, tax compliance, fraud detection . Strong understanding of risk modeling, data integration, and federal compliance . Ability to work in a high-security federal environment . Why Join Us? Work on high-impact IRS projects using Palantir technology. Collaborate with top federal agencies & industry leaders . Competitive compensation with a leading prime contractor for IRS modernization. Originally posted on Himalayas

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Busigence Technologies

Data Engineer - Python

Full-time

This is a remote position. Please go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word _i_a_g_e_t_, a cold sauce, mentioned somewhere in the job post below. You shall be required to enter this french word in following application form. Applications with incorrect response shall not be processed. Alongwith, post pressing Apply, you shall reach assessment page where you would need to spend three minutes to answer few technical questions. Applications with skipped or failed assessment shall not be processed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions. Data Engineer - Python Team: Engineering Location: Remote Relevant Exp: 0-3 Years Background: Been there-Done that Compensation: Above industry standards Requirements This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsive Remote position (work-from-anywhere) Immediate joiners must apply Data Engineering Development Experienced - course/competitions/internships/job (<4 years) Competitive compensation ************ | MUST HAVE | ************ 1. Code in advanced Numpy 2. Code in advanced Pandas 3. Write advanced database queries 4. Co

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This is a remote position. Job Title: Oracle Database Administrator Location: Remote Duration: Full-Time Active IRS MBI Clearance Required About the Role: We’re looking for an experienced Oracle Database Administrator (DBA) to join our team and support critical IRS projects. You’ll manage and maintain Oracle databases end-to-end — making sure they’re secure, stable, and performing at their best. This role is fully remote and offers the chance to work on impactful, mission-critical systems in a collaborative team. What You’ll Do: Install, configure, upgrade, and patch Oracle databases. Handle database creation, migration, backup, recovery, and disaster recovery solutions. Implement and manage strong security protocols (encryption, authentication, compliance). Monitor and tune performance to ensure high availability and reliability. Automate routine tasks with shell scripting and tools like Crontab. Support applications, troubleshoot database issues, and participate in on-call rotations. Work closely with Oracle support and internal teams to resolve issues quickly. What We’re Looking For: 7+ years of experience as an Oracle DBA. Bachelor’s degree in Computer Science, IT, or related field (or equivalent experience). Strong skills in PL/SQL, performance tuning, security, data modeling, and automation. Basic understanding of Linux, storage, and networking. Experience with ICCE and eServices is a plus. Bonus Points: Excellent communication and time-management skills. Team-oriented

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This is a remote position. Are you passionate about building reliable, scalable data platforms and improving data quality at an enterprise level? We are looking for a Senior Data Engineer – Data Quality & Observability to lead the implementation of a modern data quality framework, enabling engineering teams to detect, monitor, and prevent data issues before they impact business operations. In this role, you'll drive the implementation of engineering-owned data quality practices, operationalize GX Core , establish validation standards, and build observability solutions that improve confidence across reporting, synchronization processes, and operational workflows. Responsibilities Design and implement a scalable data quality framework across the platform. Lead the implementation and operationalization of GX Core (Great Expectations) as the primary data validation framework. Develop and maintain reusable data quality rules using a Rule-as-Code approach. Create automated validation checks for business-critical datasets and workflows. Implement data observability, monitoring, alerting, and reporting solutions. Define and maintain data lineage across key business domains. Design validation processes for data completeness, accuracy, integrity, consistency, reconciliation, freshness, and anomaly detection. Integrate data quality validations into CI/CD pipelines and release processes. Develop dashboards and reports to monitor data quality trends and operational health. Investigate

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Frequently Asked Questions: Data & Analytics

Which data stacks are in demand for remote teams?

Modern remote data teams frequently hire for SQL, dbt, Snowflake, Python, and Kafka streaming architectures.

Experience operating production ETL pipelines with automated testing and data observability receives high match weighting.

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