Sr. Data Engineer - Reston, VA - Freewheel

What you'll do

• Develop data structures and pipelines to standardize and transform data, ensuring insights generation and reporting needs are met
• Ensure data quality throughout ingestion, processing, and loading to target tables, maintaining high standards
• Create ingestion frameworks for structured/unstructured data, implementing quality checks and reporting mechanisms
• Establish methods for data consumption by end users and downstream applications, including database views and APIs
• Implement data solutions on platforms like Kubernetes, Teradata, and Databricks, ensuring alignment with architectural standards
• Determine appropriate data storage on platforms based on privacy, access, and sensitivity requirements
• Understand data lineage and transformation rules for efficient troubleshooting and impact analysis during changes
• Collaborate with management partners to optimize data sourcing and processing, enhancing data quality and process efficiency
• Mentor junior data engineers, fostering skill development and knowledge sharing within the team
• Contribute to the creation and refinement of internal data engineering tools and frameworks to improve efficiency and scalability
• Exercise independent judgment and discretion in matters of significance
• Work nights and weekends as necessary with variable schedules
• Perform other duties and responsibilities as assigned

Requirements

• Advanced SQL skills
• Proficiency in a programming language (Python preferred)
• Experience with distributed computing frameworks (e.g., Apache Spark)
• Proficiency in Cloud data warehouse management workflow orchestration & automation
• Experience working on at least one cloud provider (AWS, GCP, or Azure)
• Experience with data pipeline design patterns, data modeling & data observability
• Ability to independently own modules and communicate & review technical designs
• Exposure to Ad-Tech platforms highly preferred but not required
• Prior experience or exposure to delivery customer facing data products and understanding of modern data stack - dbt, airflow, embedded analytics is highly preferred (not required)
• Enjoy working in challenging Analytics use cases and hard data shaping challenges
• Experience in collaborating with multiple teams delivering impactful work
• Bachelor's Degree or equivalent combination of coursework and experience
• 7-10 years relevant work experience

Tech stack

Benefits