Data Engineer

Cloud Analytics Technologies, LLC; Hartford (CT); On-site; USD 140,000 - 190,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking a senior data engineering lead to design and deliver Microsoft Fabric data pipelines and analytics models for a client migrating to a unified lakehouse platform. You will shape the solution, lead hands‑on build, and mentor junior developers onsite in Hartford, CT.

You will architect ingestion pipelines, Delta Lake layouts, and Power BI models while coordinating with business and IT stakeholders to ensure production‑ready, governed assets.

Qualifications

• 8+ years in data engineering with end‑to‑end delivery on Microsoft Fabric: Lakehouse, Data Factory pipelines, notebooks, One Lake, production deployment.
• Expert-level SQL (T-SQL) and PySpark/Python with Delta Lake knowledge (ACID, partitioning, optimize/vacuum, schema evolution, performance).
• Strong dimensional modelling and medallion architecture experience with design trade‑offs.
• Experience with incremental loads, CDC patterns, and data quality frameworks at scale; Git-based CI/CD for data assets.
• Demonstrated leadership or mentoring and strong client/stakeholder communication.

Responsibilities

• Lead design and build of ingestion and transformation pipelines using Fabric Data Factory and Spark notebooks.
• Define Lakehouse vs Warehouse choices and medallion layering on One Lake with Delta tables; document rationale.
• Design and optimize Power BI semantic models and guide report developers.
• Lead migration of workloads (SSIS, ADF, Synapse, on‑prem SQL Server) to Fabric with assessment, sequencing, and cutover.
• Set up CI/CD using Fabric Git integration and deployment pipelines with branching and promotion standards.
• Define and enforce security and governance: workspace roles, row/column security, sensitivity labels, Purview integration.
• Own performance and capacity management; tune pipelines, Spark jobs, and queries.
• Conduct code/design reviews, set engineering standards, mentor junior/mid-level developers.
• Run requirement workshops; estimate/work breakdown; flag risks and maintain runbooks.

Skills

Data engineering

SQL (T-SQL)

PySpark / Python

Delta Lake

Dimensional modelling

Mentoring/leadership

Stakeholder communication

Data CI/CD

Tools

Microsoft Fabric

Delta Lake

Power BI

Azure DevOps

GitHub

Spark (PySpark)

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary
You will own the design and delivery of data pipelines and analytics models on Microsoft Fabric for a client moving to a unified lake house platform. Working onsite, you are the senior technical voice in the room: you shape the solution design, lead hands-on build, mentor junior developers, and be the day-to-day technical contact for business and IT stakeholders. You are expected to work with minimal supervision and hand over production-ready, governed assets.

Responsibilities:

• Lead design and build of ingestion and transformation pipelines using Fabric Data Factory (pipelines, Dataflows Gen2) and Spark notebooks (PySpark / Spark SQL).
• Define Lakehouse vs Warehouse choices and the medallion (bronze/silver/gold) layering on One Lake with Delta tables, and document the rationale.
• Design and optimize Power BI semantic models, including Direct Lake where appropriate, and guide report developers.
• Lead migration of existing workloads (SSIS, ADF, Synapse, on-prem SQL Server) to Fabric, including assessment, sequencing, and cutover.
• Set up and own CI/CD using Fabric Git integration and deployment pipelines (Azure DevOps or GitHub), including branching strategy and promotion standards.
• Define and enforce security and governance: workspace roles, row/column-level security, sensitivity labels, Purview integration.
• Own performance and capacity management (CU consumption, throttling, SKU sizing inputs), and tune pipelines, Spark jobs, and queries.
• Conduct code and design reviews, set engineering standards, and mentor junior and mid-level developers.
• Run requirement workshops and demos, estimate and break down work, flag risks early, and keep designs and runbooks current.

Mandatory Skills:

• 8+ years in data engineering, with proven end-to-end delivery on Microsoft Fabric: Lakehouse, Warehouse, Data Factory pipelines, notebooks, One Lake shortcuts, production deployment.
• Expert-level SQL (T-SQL) and PySpark/Python, with deep Delta Lake knowledge (ACID, partitioning, optimize/vacuum, schema evolution, performance tuning).
• Strong dimensional modelling and medallion architecture experience, including making and defending design trade-offs.
• Experience with incremental loads, CDC patterns, and data quality frameworks at scale.
  Git-based version control and CI/CD for data assets, with experience setting it up, not just using it.
• Demonstrated experience leading or mentoring a small team and doing code reviews.
  Strong communication skills for working directly with client stakeholders, including senior business and IT leaders.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.