Data Engineer
Screened for data ingestion, transformation, storage, orchestration, quality, lineage, access, reliability, and support for downstream users, with the boundary set by the employer's systems, delivery stage, and operating model.
Data, Cloud & Security
Data Engineer staffing across the US and Canada
Data Engineer recruiting based on accountable delivery experience. Choose a market below for local hiring context and the screening priorities Crosscheck uses for this role.
Define the systems, delivery stage, operating boundary, and ownership expected from the Data Engineer
Screen candidates for evidence of data ingestion, transformation, storage, orchestration, quality, lineage, access, reliability, and support for downstream users
Separate direct delivery experience from adjacent product, project, or consulting exposure
Support contract, contract-to-hire, and permanent searches across the US and Canada
Role-specific recruiting
What a focused Data Engineer search covers
A successful search starts with the outcomes this person must own, the environment they will inherit, and the evidence that separates production experience from keyword familiarity. Crosscheck aligns those requirements during intake, then screens a specialist network against the agreed role, compensation, location, and interview process.
Define the systems, delivery stage, operating boundary, and ownership expected from the Data Engineer
Screen candidates for evidence of data ingestion, transformation, storage, orchestration, quality, lineage, access, reliability, and support for downstream users
Separate direct delivery experience from adjacent product, project, or consulting exposure
Support contract, contract-to-hire, and permanent searches across the US and Canada
Role coverage
Related Data Engineer profiles
The exact title varies by team structure and project stage. These are the adjacent profiles commonly considered during intake and technical screening.
Senior Data Engineer
Screened for data ingestion, transformation, storage, orchestration, quality, lineage, access, reliability, and support for downstream users, with the boundary set by the employer's systems, delivery stage, and operating model.
ETL Engineer
Screened for data ingestion, transformation, storage, orchestration, quality, lineage, access, reliability, and support for downstream users, with the boundary set by the employer's systems, delivery stage, and operating model.
Streaming Data Engineer
Screened for data ingestion, transformation, storage, orchestration, quality, lineage, access, reliability, and support for downstream users, with the boundary set by the employer's systems, delivery stage, and operating model.
Data Engineering Lead
Screened for data ingestion, transformation, storage, orchestration, quality, lineage, access, reliability, and support for downstream users, with the boundary set by the employer's systems, delivery stage, and operating model.
Data Pipeline Engineer
Screened for data ingestion, transformation, storage, orchestration, quality, lineage, access, reliability, and support for downstream users, with the boundary set by the employer's systems, delivery stage, and operating model.
Technical and functional screening scope
The intake identifies which areas are essential on day one and which can be adjacent experience. Screening then focuses on decisions made, systems shipped, constraints handled, and measurable outcomes.
Role-specific scope
SQL · Python · dbt · Airflow · Spark · Kafka · Data Warehouses · Data Lakehouses
Ownership checkpoints
data ingestion · transformation · storage · orchestration · quality · lineage · access · reliability
Adjacent role boundaries
Data Engineer · Senior Data Engineer · ETL Engineer · Streaming Data Engineer · Data Engineering Lead · Data Pipeline Engineer
Interview calibration
How to evaluate Data Engineer experience
The search team uses the completed brief to separate adjacent familiarity from work the candidate owned. Each interviewer should use the same scenario, record the evidence provided, and score the answer against the responsibilities agreed during intake.
Data Engineer
Screened for data ingestion, transformation, storage, orchestration, quality, lineage, access, reliability, and support for downstream users, with the boundary set by the employer's systems, delivery stage, and operating model.
Interview prompt: Walk through a project where you owned this work. Explain the decisions you made, what you implemented and how you checked the result.
Senior Data Engineer
Screened for data ingestion, transformation, storage, orchestration, quality, lineage, access, reliability, and support for downstream users, with the boundary set by the employer's systems, delivery stage, and operating model.
Interview prompt: Walk through a project where you owned this work. Explain the decisions you made, what you implemented and how you checked the result.
ETL Engineer
Screened for data ingestion, transformation, storage, orchestration, quality, lineage, access, reliability, and support for downstream users, with the boundary set by the employer's systems, delivery stage, and operating model.
Interview prompt: Walk through a project where you owned this work. Explain the decisions you made, what you implemented and how you checked the result.
Market directory
Choose where you need to hire.
Use a quick link or choose a state or province. Every market opens a city-specific Data Engineer hiring guide.
Quick market links
United States by state
Open states with multiple cities
Alabama (AL)BirminghamArkansas (AR)FayettevilleConnecticut (CT)HartfordDistrict of Columbia (DC)WashingtonGeorgia (GA)AtlantaIdaho (ID)BoiseIllinois (IL)ChicagoIndiana (IN)IndianapolisIowa (IA)Des MoinesKansas (KS)WichitaKentucky (KY)LouisvilleMaryland (MD)BaltimoreMassachusetts (MA)BostonMinnesota (MN)MinneapolisNebraska (NE)OmahaNevada (NV)Las VegasNew Mexico (NM)AlbuquerqueOregon (OR)PortlandRhode Island (RI)ProvidenceUtah (UT)Salt Lake CityVirginia (VA)Richmond
California (CA)5 cities
Colorado (CO)2 cities
Florida (FL)4 cities
Louisiana (LA)2 cities
Michigan (MI)2 cities
Missouri (MO)2 cities
North Carolina (NC)4 cities
Ohio (OH)3 cities
Oklahoma (OK)2 cities
Pennsylvania (PA)2 cities
South Carolina (SC)2 cities
Tennessee (TN)4 cities
Texas (TX)5 cities
Canada by province
Choose a province to open its markets
Need a wider or fully remote search?
The market pages are planning guides, not claims of a physical office in every city. Crosscheck recruits across the United States and Canada from Denver. For qualified exclusive searches in our core disciplines, Crosscheck targets a first candidate slate within 48 hours after a completed intake.
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