DistantJob Logo

DistantJob

Senior Data Engineer

Reposted 10 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
Design and optimize SQL Server solutions, manage data, automate processes with PowerShell, and integrate with external systems to enhance functionality.
The summary above was generated by AI

Cheesy joke to get you to smile:

Two SQL transactions ask a minister to marry them, but the minister replies, "Only if you're willing to commit."

Summary:

We are seeking a hands-on Data Engineer who is skilled in building complex systems beyond just writing queries. This role focuses on SQL Server in both Linux and Windows environments and requires versatility across various tools, including PowerShell, APIs, Python, and emerging AI/LLM technologies. If you enjoy stretching your expertise beyond SQL and want to contribute to innovative solutions, this position is for you. The role is for one of our North American clients with proprietary software for the insurance industry.


Responsibilities:

  • Design, build, and optimize complex SQL Server solutions, emphasizing performance tuning, indexing, and data modeling.
  • Manage relational and semi-structured data, including JSON stored in SQL Server and multi-dimensional datasets.
  • Query and transform JSON using native SQL Server tools, such as OPENJSON and JSON_VALUE.
  • Use PowerShell, SQL Server tools, and scripting to automate processes.
  • Enhance functionalities by integrating with APIs and external systems.
  • Address problems comprehensively, focusing on end-to-end solutions beyond the database layer.
  • Operate within a complex, multi-system application environment, avoiding isolated reporting or analytics tasks.
  • Explore and implement LLM-driven workflows, including prompting and structured outputs.
  • Continuously enhance efficiency by replacing manual processes with automation.

Required Skills:

  • Proficient in SQL Server, including query performance, indexing, and data modeling.
  • Experience handling JSON in SQL Server and managing hybrid data models.
  • Experience with PowerShell or similar scripting languages for automation purposes.
  • Ability to work across multiple systems, including databases, APIs, and services.
  • Proven ability to deliver effective solutions in a timely manner.

Preferred Skills:

  • Background in smaller teams with end-to-end system ownership.
  • Experience in complex application environments rather than isolated reporting or analytics settings.
  • Capability to navigate and solve problems without detailed requirements.
  • Experience in insurance, financial services, or other regulated, transaction-heavy domains.
  • Python experience and familiarity with APIs and integrations.
  • Exposure to LLMs like OpenAI and Claude.
  • Experience developing internal tools or automation frameworks.
  • Experience with cloud or hybrid infrastructure.

This is a fully remote position, offering the flexibility to work from anywhere. If you are ready to take ownership and thrive in a fast-paced, adaptive environment, we encourage you to apply!

Similar Jobs

Yesterday
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and operate scalable, secure cloud-based data platforms and pipelines across the full data engineering lifecycle. Instrument and monitor pipelines, optimize performance, troubleshoot production issues, reduce technical debt, drive cloud and open-source adoption, and maintain documentation and governance for federal and military healthcare data solutions.
Top Skills: AzureCi/CdDevOpsGoogle Cloud Platform (Gcp)OraclePostgresSQLSQL Server
3 Days Ago
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and optimize scalable ETL/data pipelines (SQL Server, Snowflake, Databricks) for large healthcare datasets. Support production cycles, monitor and resolve issues, perform root cause analysis, ensure data quality, conduct code reviews, estimate work, and partner with stakeholders to deliver reliable data solutions.
Top Skills: .NetAzureDatabricksOraclePythonSnowflakeSQLSQL ServerSsisTeradata
7 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
120K-201K Annually
Senior level
120K-201K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and maintain scalable Spark-based ETL pipelines and computed tables in a central data lake. Integrate structured and unstructured IoT, sensor, and external data for analytics, model training, and dashboards. Collaborate with Data Science, Analytics, and ML teams to ensure reliable, high-quality customer-facing datasets.
Top Skills: AirflowAWSAzureDagsterData LakeDatabricksDelta LakeETLGCPGitGitPrefectPysparkPythonRest ApisSparksqlSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account