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Open nowPosted today

Senior Data Engineer

Datavail1 open role

Where
Anywhere USA, United States
Work mode
Remote
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Your applicationOpen nowSenior Data EngineerDatavail · Anywhere USA, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Datavail's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. Datavail postings stay open a median of 4 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.1%7 days
  4. 21.1%14 days
  5. 35.8%30 days
  6. 59.0%60 days
This job: posted today

Datavail median: 4 days open

The posting

Job Description

  • 8+ years in data engineering/data warehousing; 3+ years delivering Azure solutions and production
  • Microsoft Fabric experience
  • Advanced T-SQL, Spark SQL, Python/PySpark; working knowledge of KQL and DAX
  • Deep experience with Delta Lake, Spark tuning, medallion/lakehouse patterns, CDC and incremental loading
  • Strong dimensional modeling and working knowledge of Data Vault 2.0
  • Practical CI/CD, Git, automated testing, infrastructure as code, DataOps, governance and security experience
  • Professional-services/client-facing delivery experience
  • Authorization to work in the US and ability to travel up to 15%
  • Preferred: DP-700, DP-600, DP-203; streaming/event-driven, RAG/GenAI, Fabric IQ/data agents, and industry experience
  • Design, build and maintain production-grade batch, incremental, real-time and near-real-time data pipelines across Microsoft Fabric and Azure
  • Implement CDC, watermarking, merge/upsert, late-arriving-data and idempotent reprocessing patterns
  • Develop PySpark, Spark SQL and T-SQL transformations across bronze, silver and gold Delta Lake layers
  • Build Fabric solutions using OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Spark notebooks, Real-Time Intelligence and Power BI
  • Implement dimensional and Data Vault models, data-quality testing, reconciliation, observability, logging, alerting and SLA monitoring
  • Establish Git-based CI/CD and automated deployment using Azure DevOps or GitHub, Fabric deployment pipelines, REST APIs, Bicep and Terraform
  • Apply Purview catalog/lineage, least-privilege access, sensitivity controls, encryption and secure connectivity
  • Support migrations from SQL Server, SSIS, SSAS, legacy warehouses and Synapse to Fabric/Azure, including conversion, reconciliation and cutover
  • Prepare governed data for AI/ML and RAG workloads, including ingestion, chunking, embeddings, indexing and telemetry
  • Lead engineering workstreams, estimates, risk management, client communication, mentoring, reusable accelerators and operational handover

About Us

Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.

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    The review screen in CV Rocket: how each CV was read, round by round.

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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