Data Engineer 3 - Reston, VA - Freewheel at FreeWheel | AdTechTalent
Data Science2 days agoOn-site
FreeWheel
Data Engineer 3 - Reston, VA - Freewheel
SQLPythonApache SparkCloud Data WarehouseAWSGCPAzureLookerdbtAirflowSnowflakeKubernetesTeradataDatabricksdata pipelinedata observabilitydata ingestiondata architecturedata qualitydata lineage
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
Chicago, United States; Reston, United States
Full job description
Design, develop, and manage advanced data structures and pipelines ensuring data quality and accessibility. Implement data solutions across platforms while maintaining privacy and regulatory compliance. Act as a technical resource optimizing data processes and storage to support business initiatives. Requires strong SQL, Python, Apache Spark, cloud data warehouse management, and knowledge of AWS, GCP, or Azure. Familiarity with data pipeline design, data observability, and modern data stack tools like dbt, Airflow, Snowflake is highly desired. Responsibilities include designing data architectures, ensuring data quality, engineering ingestion frameworks, developing data consumption methods, implementing solutions on Kubernetes, Teradata, AWS, and Databricks, managing data lineage, collaborating with teams, and exercising independent judgment. Must be able to work nights and weekends as needed. Requires bachelor's degree or equivalent experience and 5-7 years relevant experience.
What you'll do
Design and construct data architectures and pipelines to standardize, transform, and ensure data integrity for business insights
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Guarantee data quality throughout ingestion, processing, and loading phases
Engineer robust ingestion frameworks for various data types, monitor and report on data quality
Develop accessible methods for data consumption including APIs, database views, and data extracts
Implement data solutions on platforms such as Kubernetes, Teradata, AWS, and Databricks
Select appropriate data storage platforms based on data sensitivity, privacy, and access needs
Master data lineage and apply transformation rules for change management and issue resolution
Collaborate with cross-functional teams to refine data sourcing and processing for optimal quality and efficiency
Exercise independent judgment and discretion in significant matters
Work nights and weekends as necessary
Perform other duties as assigned
Requirements
Strong SQL proficiency
Programming language proficiency (Python preferred)
Proficiency in distributed computing frameworks (e.g., Apache Spark)
Cloud Data Warehouse management
Knowledge of at least one cloud provider (AWS, GCP, or Azure)
Familiarity with data pipeline design pattern
Knowledge of data observability
Exposure to Embedded Business Intelligence like Looker is desired but not required
Exposure to modern data stack such as dbt, Airflow, Snowflake, Apache Spark is highly desired
Exposure to Data Consumption challenges and solutions is highly desired
Bachelor's Degree preferred or equivalent coursework/experience
5-7 years relevant work experience
Tech stack
SQLPythonApache SparkCloud Data WarehouseAWSGCPAzureLookerdbtAirflowSnowflakeKubernetesTeradataDatabricks
Benefits
Base pay within specified range dependent on experienceCommission for sales positionsBonus for non-sales positionsBest-in-class benefits supporting physical, financial, and emotional well-beingPersonalized support through various life milestones
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