Skip to content
SigmaSigmaNew York, NY

Data Engineer

Data Platform Engineer responsible for architecting and managing production data pipelines in Snowflake and Databricks, building ETL processes, scaling Terraform deployments, and advancing data governance. Requires 3+ years data engineering experience, strong API and pipeline skills, and comfort in ambiguous startup environments.

140k – 180k/yr
Hybrid3+ YOEData Engineering

About the role

What You Will Be Doing

  • Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma (Tech we use: Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane)
  • Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses
  • Scale our terraform deployment across all of our Snowflake assets
  • Continue to advance our data governance policies
  • Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM—with users of all skills and levels

Qualifications We Need

  • Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
  • Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success.
  • Experience deploying data governance frameworks with a scalable and repeatable process
  • Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that
  • 3+ years of relevant experience working in a data engineering role
  • Startup experience

Qualifications We Want (also, skills you’ll learn!)

  • A drive to continuously learn (and share those learnings) about the evolving data ecosystem
  • Familiarity with dbt
  • Advanced knowledge python knowledge
  • Advanced knowledge and strong opinions around orchestrators (e.g., Astronomer, Airflow, Dagster)
  • Advanced knowledge of working with public clouds (e.g., AWS, GCP)

Additional Job details

The base salary range for this position is $140k - $180k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

Skills

SnowflakeDatabricksFivetranDagsterdbtTerraformPythonAirflowAWSGCPETLData PipelinesData Governance
Reality Defender

Data Engineer

Reality DefenderNew York, NY

Build and scale large-scale data pipelines for multi-terabyte and streaming audio/video datasets on Kubernetes, AWS, Spark, and Ray. Partner with ML teams on MLOps workflows; requires strong distributed systems and orchestration experience.

140k – 180k/yrRemote5+ YOEData Engineering
Scale AI

Field Engineer, Public Sector

Scale AISt. Louis, MO +1

Field Engineer building and deploying data pipelines, integrations, and backend systems for government customers at customer sites. Requires active Secret clearance, Python, ETL, cloud technologies, and >50% onsite availability.

140k – 290k/yrHybridData Engineering
Machinify

Healthcare Data Analyst

MachinifyUnited States

Create advanced SQL/Spark SQL queries and prompt-engineered LLM workflows to transform healthcare claims data into clinical insights and automated policy tools. Requires 3-5 years SQL plus 2-3 years healthcare experience.

140k – 170k/yrRemote3+ YOEData Engineering
Tabs

Data Engineer

TabsNew York, NY

Build core data infrastructure as the first Data Engineer, designing scalable warehouse/lakehouse, data pipelines, and models for KPIs and AI systems. Requires 3-5+ years experience with Python, SQL, and modern cloud data stack in startups.

140k – 195k/yrOn-site3+ YOEData Engineering
Glean

Software Engineer, Data Foundations

GleanUnited States

Build and scale data ingestion pipelines and connectors for enterprise SaaS apps, transform unstructured data for AI search and agents, ensure reliability and security at petabyte scale. Requires 3+ years backend/data infrastructure experience with distributed systems.

140k – 265k/yrHybrid3+ YOEData Engineering