Data Engineer

Covista Phase 2

$74K — $133K *
Lisle, IL 60532In-Person
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science or related technical field required.
  • Master's Degree in relevant field preferred.
  • Over three years of experience in building data lakes and cloud data platforms.
  • Proficiency in GCP technologies such as BigQuery, Composer, and Dataflow.
  • Strong command of SQL and Python programming languages.
  • Familiarity with Airflow for workflow management and data ingestion.
  • Experience optimizing queries for performance in an agile environment.

Responsibilities

  • Collaborate with IT, analysts, and data science teams to gather business requirements.
  • Develop, deploy, and maintain high-performance data pipelines.
  • Optimize data pipelines for better performance and reliability.
  • Ensure the quality of critical data and create remediation plans.
  • Document strategies for data pipeline designs and support.
  • Capture and share data lineage and operational metadata.
  • Troubleshoot and fix data engineering issues as they occur.

Benefits

  • Comprehensive health, dental, vision, life, and disability insurance.
  • 401k retirement plan with a 6% employer match.
  • Flexible Time Off (FTO) policy for work-life balance.
  • 12 paid holidays each year.
  • Opportunity to participate in an annual incentive program based on performance.
Full Job Description
  • Work closely with various business, IT, Analyst and Data Science groups to collect business requirements.
  • Develop, deploy and support high performance data pipelines both inbound and outbound.
  • Optimize data pipelines for performance, scalability, and reliability.
  • Ensure quality of critical data element, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
  • Document the design and support strategy of the data pipelines.
  • Capture, store and socialize data lineage and operational metadata.
  • Troubleshoot and resolve data engineering issues as they arise.


Qualifications
  • Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Required.
  • Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Preferred.
  • Three (3) plus years of experience in building data lakes and cloud data platforms.
  • Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.
  • Expert knowledge on SQL and Python programming.
  • Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
  • Experience in tuning queries for performance and scalability
  • Experience working in agile environment.
  • Excellent problem-solving and critical thinking skills.

Additional Information

In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $74,064.94 and $133,901.96. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.

Covista offers a robust suite of benefits including:
  • Health, dental, vision, life and disability insurance
  • 401k Retirement Program + 6% employer match
  • Participation in Covista's Flexible Time Off (FTO) Policy
  • 12 Paid Holidays

    For more information related to our benefits please visit:
    https://careers.covista.com/benefits

    You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

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