Remote Data Engineering & Analytics Jobs

Key Responsibilities: Architecture & Platform Design Design enterprise Databricks Lakehouse architectures aligned with the Databricks Well-Architected Framework Define reference architectures for batch, streaming, analytics, and ML workloads Select and standardize cluster, compute, and workspace architectures Design multi-workspace strategies (dev/test/prod, shared vs. isolated) Ensure architectures meet scalability, availability, and performance requirements Well-Architected Framework Alignment Apply Databricks best practices across all pillars, including: Security & Governance (Unity Catalog, IAM, data access controls) Reliability & Resilience (job retries, checkpointing, failure isolation) Performance Efficiency (cluster sizing, autoscaling, caching) Cost Optimization (compute policies, workload separation, monitoring) Operational Excellence (monitoring, automation, CI/CD, runbooks) Implementation & Engineering Lead Databricks workspace, cluster, and Unity Catalog implementations Implement Delta Lake, Delta Live Tables (DLT), and Structured Streaming Build and optimize ETL/ELT pipelines using Spark and SQL Integrate Databricks with cloud services (S3/ADLS/GCS, IAM, Key Vault, networking) Establish CI/CD pipelines for notebooks, jobs, and infrastructure Security, Governance & Compliance Implement Unity Catalog for centralized governance Define data classification, lineage, and audit strategies Enforce least-privilege access and secure networking patterns

Build What's Next with Us At SEAhub Asia , your career isn't just a job — it's a launchpad. We move fast, think big, and build futures together. What's waiting for you here? Remote-first roles built for freedom and flexibility Learning & Development that sharpens skills and accelerates careers Competitive salary packages for high performers Wellbeing perks that help you thrive inside and outside work A team that supports, celebrates, and wins as one and we're just getting started. We're growing across Southeast Asia — and we're searching for sharp minds, big thinkers and curious hearts ready to help us build what's next. learners, and big thinkers who want to create what's next. If you're ready to make a real impact and grow with a future-ready team, your next chapter starts here. Job Summary Support the Data Analytics team by assisting with data validation, report generation, and basic analysis to help ensure data accuracy and enable informed business decision-making. Responsibilities: Reporting, Analysis & Insight Communication Prepare reports and perform data analysis to support data-driven decision-making Monitor key business performance metrics to identify trends, patterns, and anomalies Assist in building and maintaining dashboards and reports for performance tracking Communicate data insights to stakeholders in a clear, concise, and actionable way Data Quality & Validation Support the validation and upkeep of data accuracy across dashboards and data pipelin

About Entrada AI Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. We were recently named the Genie Partner of the Year (2026) for our work deploying Databricks Genie at enterprise scale—bridging the gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks projects delivered, we unlock self-service analytics for Fortune 500 leaders. Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges. About the Role Entrada AI , Inc. is seeking an experienced AI Architect (Generative AI & Databricks) to join our growing team of consultants to lead the design and implementation of an enterprise GenAI platform for a marquee client. In this role, you will architect an intelligent ingestion pipeline and an Anti-Hallucination & Zero-Inference Architecture designed to automate the triage, parameter extraction, and staging of incoming customer commercial pricing requests. You will bridge advanced LLM orchestration with production Lakehouse patterns, replacing manual data re-keying with high-throughput unstructured parsing, automated guardrail

Grow your career at Cedars-Sinai! Building on a legacy of innovation, Cedars-Sinai is harnessing rapidly evolving breakthroughs in AI technology to enhance patient care, improve efficiency, advance scientific discovery, and cultivate greater physician and staff wellbeing. The organization’s Healthtech excellence was acknowledged again, this time by the esteemed “CHIME Digital Health Most Wired“ recognition program. Cedars-Sinai was assigned a Level 10—the most prestigious level of certification—among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in areas of infrastructure, interoperability, and population health innovation. Why work here? Beyond an outstanding benefit package and competitive salaries, we take pride in hiring the best, most committed employees. Our staff reflects the culturally and ethnically diverse community we serve. They are proof of our dedication to creating a multifaceted, inclusive environment that fuels innovation and the gold standard of patient care we strive for. What you will be doing: The Ai Engineer (Rev Cycle Data Intelligence Analyst) works with end-user requests to detail moderately to sophisticated business requirements, data definitions, business rules, and data quality requirements support of enterprise data intelligence projects. Creates specifications for reports and analysis based on business/clinical needs and data elements required or available. Pro

Are you interested in being part of an innovative team that supports Westinghouse’s mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace. About the role: As a Manager - Data Science, you will lead an international team. This team consists of data scientists and machine learning practitioners responsible for developing, experimenting with, deploying, and benchmarking AI/ML models. Additionally, they will work on prompt-engineered solutions embedded into Westinghouse digital products. You will work with Westinghouse leaders to understand business and product need to support main themes such as Asset Management, Work Management, and Business Process Optimization. Identify critical skill needs and address gaps to ensure the necessary capabilities—spanning classical ML, deep learning, and generative AI—are available to help develop scalable, production-grade model solutions. You will report to the Director, AI Data Infrastructure and work remotely. Key Responsibilities: Engage with the Digital and Innovation (D&I) leaders to promote the D&I vision. This vision drives global Westinghouse and industry modernization. To achieve this, provide input and accomplish the digital roadmap. The roadmap aims to improve the position of Westinghouse and our customers rela

Requirements: Bachelor’s or Master of Science Degree in Computer Science, or related field • Required 5+ years professional experience as a software engineer in machine learning, natural language processing, and data science (design and coding) • Strong understanding and hands-on experience of AI and any of ML, DL, NLP, RL etc. • Strong understanding of data science principles and processes Experience with NLP, LLMs, deep learning and working with typical data used in such models • Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling Strong programming skills in one or more programming languages (Python, R, Scala) • Proficiency in popular deep learning frameworks like TensorFlow/Keras or PyTorch • Experience with cloud services/environment like Azure, AWS, GCP ecosystems • Good understanding of HuggingFace and Langchain • Ability to create technical examples, prototypes, and demonstrations based on rapidly changing data & tool sets. Originally posted on Himalayas

Position OpsGuru, a Carbon60 Company is a global engineering and consulting group. We are experts in the data, machine learning/artificial intelligence, and cloud-native technologies space. OpsGuru empowers customers with technology to solve their unique business challenges, navigating them towards success in their digital transformation. OpsGuru's value to our customers centers around our ability to provide deep technical guidance based on their business needs. Principal Data&AI Architects are expected to provide deep business and technical expertise with focus on Data Analytics, Artificial Intelligence and Machine Learning including Data Governance and Compliance. Principal Data&AI Architects are expected to have strong general business acumen, enabling them to confidently discuss every stage of the technology adoption cycle with stakeholders ranging from the CEO down to individual contributors and should be able to bridge technical solutions to measurable business outcomes—such as revenue growth, operational efficiencies, or improved customer experiences. OpsGuru Principal Data&AI Architects are assigned to several strategic accounts and are expected to work with their clients to become trusted technical advisors. Our Principal Architects are thought leaders and are able to guide and challenge clients in a respectful manner to ensure they receive the highest level of value from their technology investments. Principal Architects are expected to have experience p

At Connect Centric , we are more than just consultants—we are partners committed to our clients' success. We take a hands-on approach, working closely with our clients to transform strategies into measurable, real-world outcomes. As a strategy execution team, we take full ownership of every initiative from start to finish, ensuring that our clients see tangible results, not just ideas. Position Description Connect Centric is seeking a Membership Data SME to lead a strategic data initiative for a national trade association. Over the next six months, you'll partner with the client's marketing and operations leadership to build foundational member data systems, establish sources of truth across disparate platforms, and create a roadmap for long-term data governance. You'll work across multiple enterprise systems (ERP, CRM, AMS, and supporting applications) to audit current state, identify inconsistencies, and define clear data requirements. Your expertise will directly shape how the organization understands and manages its member relationships. This is hands-on, practical work—not a theoretical exercise. You'll lead the effort and actively partner with internal teams to turn strategy into actionable deliverables. What You Will Do Data Strategy and Requirements Definition Lead the design and development of a comprehensive data dictionary covering five core domains: Person/Contact, Organization/Account, Membership & Affiliation, Relationship & Engagement, and Reference &am

Laboratory Data Ontologist Remote | Canada or US Overview We are seeking a Laboratory Data Ontologist to strengthen the semantic foundation of our platform and the client-specific ontologies deployed on top of it. Labbit is built on a typed entity graph — samples, containers, locations, instruments, pools, and their provenance — and every implementation is, at its core, a modelling exercise: mapping a client's scientific and operational vocabulary onto that graph without losing fidelity. This role sits within our Advisory group. You will spend ~50% of your time billable on client implementation projects as the modelling lead, and the remaining ~50% on internal stewardship — evolving the core ontology, codifying modelling practice, and supporting Sales pursuits. This is not a data engineer role and not a solutions architect role. You are a modeller, steeped in information theory, taxonomy design, and ontology engineering — whose primary deliverables are client and platform ontologies, reference models, and the standards that govern them. Why This Role Matters Our platform's differentiator is a configurable, versioned entity graph with immutable lineage. That model is only as valuable as the discipline behind it: Advisory engagements deepen when modelling is treated as a first-class deliverable rather than a byproduct of configuration. Sales wins when we can quickly show a prospect their world represented cleanly in our model. Implementation delivers faster when client vocabula

Data Specialist Location: Remote, USA Time Zone: Must be in Pacific time zone and willing to work 9AM - 6 PM PT , Thursday-Monday About Syllo Syllo is defining the Litigation AI category. We are the first unified platform designed to autonomously manage the entire litigation lifecycle end-to-end. Founded in 2019 by a team of litigators and engineers, Syllo enables legal teams to securely harness the power of AI across any matter, regardless of complexity or scale. Our technology supports Fortune 500 companies and AmLaw 200 firms managing their most complex litigation portfolios. Awarded ILTA Transformative Project of the Year and ALM eDiscovery Technology of the Year for 2026, we are the market leader in enterprise-grade litigation AI. Backed by top-tier VCs, we are at a clear inflection point — the team has doubled in the last six months and growth is accelerating. About the role Own the data layer that makes complex litigation possible. This role is responsible for the technical data operations that underpin every case on Syllo 's platform, from collection and processing through production and quality control. You will work directly with Client Services pods and internally with Product and Engineering to ensure data integrity at every stage. We are looking for someone with hands-on EDRM lifecycle experience, deep platform fluency, and the judgment to know when a data issue is a technical quirk versus a signal something is wrong. What you will do Own data operations: Manage

Overview LMI is seeking a talented and mission-driven Data Engineer to support the U.S. Department of Veterans Affairs (VA), with a focus on modernizing Veterans Benefits Administration (VBA) claims processing. This role will help transform how critical claims information is collected, integrated, processed, and delivered, enabling faster, more accurate, and more efficient services for Veterans and their families. In this hands-on engineering role, you will design, build, and optimize scalable data pipelines and modern data solutions that support VA disability compensation claims, evidence management, workflow automation, and operational analytics. You will work with complex datasets spanning claims submissions, military service records, medical evidence, examination information, and claims processing activities, transforming disparate information into secure, reliable, and actionable data products. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencie

You will be responsible for designing, implementing, and optimizing Databricks-based data architectures, ensuring scalable, secure, and efficient solutions. Your main responsibilities will include: Design and implement Lakehouse and Delta Lake architectures across cloud and multi-cloud environments. Develop and optimize ETL/ELT pipelines using Apache Spark, Structured Streaming, and Lakeflow Declarative Pipelines . Implement data governance, security, and lineage frameworks using Unity Catalog . Define AI governance mechanisms using Unity Gateway . Design environments supporting Machine Learning, Generative AI, and advanced analytics using MLflow and Databricks Genie . Optimize Databricks platform performance and costs, applying FinOps best practices. Participate in data platform modernization and migration projects towards Lakehouse architectures. Advise clients on Databricks best practices and collaborate with technical and business teams. WHAT ARE WE LOOKING FOR? Strong experience in data architecture and designing Databricks-based solutions . Deep knowledge of Apache Spark, Delta Lake, Unity Catalog, and Photon . Experience with cloud platforms such as Azure, AWS, or GCP . Knowledge of cloud infrastructure, networking, storage, and IAM security. Experience designing ETL/ELT pipelines and data processing solutions. Knowledge of data governance, performance optimization, and Lakehouse architectures. Strong communication skills, autonomy, and a customer-oriented mindset. Flu

Tasks and responsibilities You design, develop, and maintain data quality pipelines for mission-critical data assets and make data issues visible. This includes data concerning stops, lines, and trips. You build substantive knowledge of the data you work with, so that you can link technical solutions to the business context. You visualize data errors and quality issues for data stewards and data producers. You design, develop, and maintain data quality pipelines together with a team of Data Engineers. You coordinate with data stewards regarding quality requirements. You translate functional quality requirements into technical quality rules. You implement quality rules in data pipelines and monitoring processes. You contribute ideas regarding priority data quality needs and propose improvements. You collaborate on the further expansion of a scalable data quality program. You work with stakeholders within IT, data teams, data governance, and the business. You are given space to grow both technically and substantively, thereby bridging the gap between technical solutions and the organization's needs. Your profile Data quality forms an important foundation for a data-driven organization. You work in a modern data environment within a team that builds data products and contributes to a high-performing and scalable data quality program. You have knowledge of Python and/or SQL. You have an affinity with the requested technologies.

Built a high-throughput data platform from a blank page? Be the first dedicated data-platform engineer at a defense-tech company. A Series A defense-tech company deploys autonomous sensor networks. You'd define how raw sensor and telemetry data becomes clean, labeled datasets for perception and foundation models, on a greenfield platform. The team is small and comes from leading space and defense-tech companies. They're hiring 2 senior data platform engineers . What you'll own The data platform, from ingestion to labeled datasets, built from scratch Backfill and reprocessing frameworks, data-quality metrics and alerting Time sync, lineage and geospatial context for sensor data Tooling for labeling and dataset creation Must-haves You've architected a high-throughput data pipeline or platform from a blank page, not only run an existing one Python data stack (PyArrow, Polars, Pandas, NumPy, SciPy) plus Go, Rust or TypeScript Deploying pipelines on a cloud platform (AWS preferred) 5+ years of experience (roughly 5–8; startup years count extra) US citizenship (required because of the defense work) Bonus points Sensor, audio, video or telemetry data A labeling tool you built Robotics, autonomy or space data platforms What's in it for you $200k–$240k base + 0.25–0.5% equity A greenfield platform that feeds directly into the company's models Good to know Full-time, remote in the US; Los Angeles is strongly preferred, with occasional visits to the office in the LA area Process: 30-min

Job Purpose: The Senior Data Security Specialist is responsible for implementing and managing data security technology solutions globally. Leads or serves as experienced technical resource in multi-discipline IT security projects intended to continually improve the data security and operating procedures. Keeps abreast of the latest Data security technologies and identifies opportunities to leverage them to improve TD SYNNEX 's data protection. The responsibilities include reviewing our current data security measures and processes in all geographies TD SYNNEX operates in, identifying and addressing areas of weakness through investigation and cross business participation. Continuously improves core processes in data security and ensures that identity & access management, threat hunting and analysis are completed for data access, both on-premise and in the cloud. Documents operating procedures and run books and trains the support team(s). Responsibilities: Technical implementation, enhancement and ongoing support for data security technologies like DLP (30%) Execute and continually improve core data security processes such as threat analysis, and data monitoring and control of data access(20%) Develop processes for the categorizations of data and access controls to the data for both Structured and Unstructured data. Utilize learnings to improve capabilities and automation (20%) Work with the application security team to develop joint processes for Data orchestration and Data

The Role: Technically lead the definition, architecture, review, and supervision of end-to-end solutions focused on data, analytics, and artificial intelligence, ensuring alignment between client requirements and iData standards. Act as the primary consultative reference for the client and the internal team, actively participating in strategic conversation management, decision-making, architecture, and technical governance. The TL oversees code quality, guides CI/CD and infrastructure best practices, and facilitates the resolution of blockers without focusing on direct code development. Operational Load: 80% - Consultative, Client, and Team Management: Executive meetings, architecture design and justification, stakeholder alignment, coordination with client teams (e.g., networking/security), technical leadership, and agile ceremonies. 20% - Technical Supervision and Architecture: Source code review and supervision (code reviews), definition of Infrastructure as Code (IaC), technical support for architecture, and solution optimization. Responsibilities: Consultative Relationship and Executive Management (Client): Act as a strategic technical interlocutor. Lead architecture discussions, manage expectations, hold difficult conversations, and guide the client in high-value technical decisions. Cloud & Data Architecture Design and Integration: Design robust architectures in Azure (80-90% of the ecosystem), with integration capabilities.

Dura Digital is growing, and we need amazing talent like you to join our team of creative, innovative, and caring consulting professionals. If you are passionate about helping clients achieve their goals of digital transformation, you dream about building a company that excels in everything it does and never stops improving, you have found the right team. Data & Analytics Consultant We are looking for a highly motivated individual to join our team as a Data & Analytics Consultant. In this role, you will be responsible for the design, development, implementation and support of enhanced reporting and analytic visualizations and dashboards as well as data movement/modelling. We are looking for individuals that are eager to... Be responsible for the design, development, implementation, and support of enhanced reporting and analytic visualizations and dashboards as well as data movement/ modeling Analyze acquired data, evaluate existing systems, and test new ones Help our clients understand and manipulate their data to gain value from it Document our clients' requirements and use analysis techniques Work with our clients to understand their challenges and partner with them to build effective, sustainable, and valued solutions What will help you succeed at Dura Digital Share and live by our values: Be curious, Be trusted, Be available, Be vocal, Be respectful Have 3-5 years of hands-on professional development experience in-design, development, and implementation of Data &a

Overview The Senior Data Scientist will support the Defense Health Agency (DHA) Revenue Cycle Operating System (RevOS) initiative by designing and implementing advanced analytics, statistical models, predictive capabilities, and decision-support visualizations within a Databricks-based environment. The role will focus on transforming complex healthcare, financial, coding, claims, payment, and operational data into actionable intelligence that enables DHA to identify revenue leakage, coding and charge-capture errors, denied or stalled claims, underpayments, aged receivables, and opportunities to recover revenue. The Senior Data Scientist will work closely with Data Engineers, Revenue Cycle SMEs, DHA stakeholders, and product leadership to develop analytics aligned to the end-to-end revenue-cycle workflow: Scheduling → Eligibility → Registration → Authorization → Patient Care → Documentation → Coding → Charge Capture → Claims → Adjudication → Remittance → Denials → Collections / Recovery The objective is not simply to produce reports. The role will help create analytical products and Databricks-based dashboards that identify where revenue-cycle processes are failing, quantify financial impact, prioritize corrective action, and measure recovery. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to f

JOB SUMMARY The architect will lead both pre-contract technical solutioning and subsequent delivery, preserving continuity from proposal to production. Joining a small, senior practice means early client exposure, fast architectural decisions, hands-on implementation and direct influence over delivery standards and reusable assets. It also means varied, ambiguous work and occasionally creating the playbook; candidates seeking a tightly defined remit may not find the role suitable. Time is split approximately equally between client engagement and delivery, flexing with the pipeline. Typical work includes discovery workshops, target-state architecture, proposal estimates, code review, building a retrieval-augmented vertical slice, client enablement, steering-committee presentations and converting lessons into reusable patterns. JOB RESPONSIBILITIES: Solutioning and pre-sales Shape technical approaches, challenge problem statements and facilitate discovery workshops. Produce target-state architectures, build sequences, proposal assumptions, exclusions, risks and defensible estimates. Design four-to-six-week proofs of concept and serve as technical peer to client architects, data leaders and CIOs. Delivery and hands-on architecture Own end-to-end architecture and, where required, lead delivery, scope, stand-ups and client technical Remain hands-on, implementing demanding components and reference solutions. Deliver Databricks lakehouses, including medallion layers, Unity Catalog,

Cronos Europa is an IT and digital communications company uniquely dedicated to serving the European institutions, agencies and bodies. From the European Union to EUROCONTROL, we partner with a range of supranational and interinstitutional authorities. Our mission is to arm them with the tools they need to thrive in the digital age. Every aspect of our organisation is designed to complement their capabilities - from our people to our processes and our premises. Our brand combines the expertise of former companies Cronos International and C-Dev, with the creative skills of Inspiiro and the breadth of capabilities of the Cronos Group. Cronos Europa employs over 1,200 people in offices across Belgium, Luxembourg and the Netherlands, serving institutions across diverse framework contracts. Cronos Europa is part of the Cronos Group, one of the largest IT service providers in the Benelux, employing over 8,000 people across 200 competence centres. SUMMARY As a member of the Data Services “Data Operations & Support” team, you will join an enthusiastic team supporting web-based applications, Oracle databases, ETL processes and their surrounding platforms. You will act as a key person in new projects and build new things while maintaining and improving others. You’ll be focusing on an on-prem Linux – Oracle - Java stack with Azure as a secondary platform. RESPONSIBILITIES Provide 2nd & 3rd level support Participate in entire project lifecycles (architecture, implementation, sup

JOB DESCRIPTION Location: Remote within ±3 hours of the EAT time zone. Preference for candidates located in Africa/ in countries where Pula has an office (e.g. Kenya, Ethiopia, Zambia). Reports to: Associate Manager, Analytics & Insights About Pula : At Pula , we are radically restructuring agricultural insurance, using technology to insure the previously unbanked, uninsured, untapped market of 1.5 billion smallholders worldwide. We work in over 14 countries across Africa and Asia, and by 2020, we have facilitated crop insurance cover to over 4.7 million farmers across Kenya, India, Rwanda, Uganda, Nigeria, Mali, Senegal, Zambia, Ethiopia, Madagascar, Tanzania, and Malawi. Since raising our Series A our operations have expanded globally including now Asia and Latin America. Pula is fast-paced, constantly adapting to new opportunities and challenges. We are a high-performance, multi-cultural team. We expect our team to value performance, results and professionalism. At Pula , we are: Obsessed with results: We are responsible for our future and therefore we get things done! Connect the Dots: We continuously identify different customer needs & business problems and build solutions that deliver value. Have a Can do Attitude! We dare to do things differently to make things work. We have each others’ back: We look out for each other & we share high quality, timely feedback that makes us better. Position Overview As a Remote Sensing Data Analyst at Pula , you will turn s

Hi! We're Mercuryo , and we’re on a mission to redefine finance by blending the best of traditional banking with the power of decentralized finance (DeFi). We believe everyone deserves seamless access to Web3 and traditional financial services, so we're building the platform that makes it real: one that simplifies crypto and integrates it into the broader financial ecosystem. Since launching in 2018, we've grown into a recognized force in the industry, named one of Europe's Fastest-Growing Startups 2025 by Sifted and awarded Best Crypto On-Ramp & Payments Solution 2025 by Cryptonomist. We've partnered with leading brands including Visa, Mastercard, MetaMask, Trust Wallet, Ledger, and Jupiter, powering over 200 products and collaborating directly with major ecosystems like Solana, Consensys, and BNB Chain. Why Mercuryo ? Industry Impact Join us in helping world-class Web3 projects onboard millions of new users into the next generation of finance. Innovative Environment Collaborate with more than 300 talented professionals from diverse backgrounds — including banking, SaaS, and Web3 — all united in delivering outstanding user experiences. AI-First Culture We actively integrate AI across the company, from operations and analytics to marketing and product workflows. It helps teams move faster, improve productivity, and focus on high-impact work - while maintaining human oversight and accountability at every step. We see AI as a core part of how our teams innovate, collaborate

Position Summary Scicom Infrastructure Services is seeking an experiencedDatabricks Practice Lead / Engineering Managerto provide hands-on technical leadership while managing a team of data engineers, architects, and consultants supporting complex enterprise and government programs. This role requires a senior Databricks expert who can design and oversee modern data platforms, establish technical standards, guide delivery teams, and remain actively involved in architecture, troubleshooting, code reviews, and client-facing solution development. The successful candidate will balance deep technical expertise with strong people leadership, delivery management, and stakeholder communication skills. Key Responsibilities Databricks Technical Leadership Serve as the organization’s subject-matter expert for the Databricks Lakehouse Platform. Design scalable, secure, and highly available data architectures using Databricks, Apache Spark, Delta Lake, and cloud-native technologies. Lead the implementation of batch, streaming, ETL, ELT, analytics, machine-learning, and AI-enabled data solutions. Define architectural standards for medallion architectures, data modeling, ingestion, transformation, orchestration, and data consumption. Establish governance frameworks using Unity Catalog, including data lineage, access controls, auditing, metadata management, and secure data sharing. Guide Databricks workspace design, cluster configuration, serverless computing, workload isolation, performance

JDS Energy & Mining provides engineering, project management, and construction services to the resource and energy sectors. We deliver innovative, cost-effective solutions for mining projects worldwide, with a focus on safety, collaboration, and technical excellence. We are seeking a motivated Data Analytics & Automation Co-op to help turn business data into useful insights and develop practical tools that improve internal workflows. The co-op will contribute to a range of initiatives that support JDS's digital and operational efficiency, including but not limited to applying large language models (LLMs) to extract relevant data from unstructured documents, optimizing storage and information architecture, developing automated data pipelines and API integrations, and delivering Power BI dashboards that support data-driven decision-making. This role is ideal for a student who enjoys programming, working with data, and finding better ways to get things done. We are looking for candidates who are curious, adaptable, and eager to learn. Prior experience with every technology listed is not required. Duration: 4 months (with possibility to extend) Key Responsibilities Assist in developing AI and data analytics solutions to solve business challenges. Prepare, clean, transform, and analyze data using Python and SQL. Assist with API integration, including connections to Microsoft 365 services and platforms. Create dashboards, reports, and visualizations to communicate insights.