AdTechTalent
Engineering4 months agoRemote

Verve

Data Engineer (Remote / Contract)

data engineerSQLdata visualizationETLELTdata warehouseBigQueryClickHouseAirflowTemporalDagsterGoogle CloudAWSremotecontract

Key details

Salary

$30 – $50

Employment type

Full-time

Seniority

Mid-level

Years experience

0-2

Location

New York, US

Full job description

Verve is seeking a mid-level Data Engineer for a fully remote, 40-hour per week contract role. Responsibilities include collaborating with Product and Strategy teams to build customized reporting solutions, integrating internal and third-party data sources, streamlining prototyping processes, ensuring data integrity with Platform team, experimenting with new technologies, managing releases with Kanban, and maintaining code quality through reviews and automated tests. Candidates should have 2+ years of experience, proficiency in SQL, experience with data visualization tools (Holistics, Looker, Tableau), data warehouse design and optimization (BigQuery, ClickHouse), and building batch ETL/ELT jobs using orchestration platforms (Airflow, Temporal, Dagster). Familiarity with Google Cloud or AWS big data products is preferred. The role requires collaboration with US-based teams during business hours. Hourly rate is $30 to $50 USD.

What you'll do

  • Collaborate with Product and Strategy teams to build customized reporting solutions for clients
  • Integrate new internal data sources and third-party APIs to enhance reporting capabilities
  • Streamline processes for rapid prototyping to meet new client reporting needs
  • Work with Platform team to create monitoring ensuring data integrity
  • Experiment with new technology to find the right tools
  • Use Kanban to manage multiple releases per week
  • Maintain high code quality through code reviews and automated tests

Requirements

  • 2+ years of relevant work experience
  • Experience building customer-facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau
  • Comfortable writing SQL and manipulating large structured or unstructured datasets for analysis
  • Experience designing schemas and optimizing queries for a data warehouse like BigQuery or ClickHouse
  • Experience building and maintaining batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster
  • Familiarity with Google Cloud or AWS big data products
  • Willingness to collaborate with US-based engineering team during business hours

Tech stack

SQLHolisticsLookerTableauBigQueryClickHouseAirflowTemporalDagsterGoogle CloudAWS

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