Job summary
Job post source
This job is directly from Factspan
Job overview
The Data Engineer role at Factspan involves maintaining and expanding core data platform pipelines to support data discovery, governance, and privacy, impacting the company's data infrastructure and analytics capabilities.
Responsibilities and impact
The Data Engineer will maintain and update data pipelines, build tools for data governance, collaborate with cross-functional teams, ensure data quality and operational efficiency, participate in agile processes, and document work to support data governance.
Experience and skills
Candidates need 5+ years of data engineering experience, proficiency in Python, Java, or Scala, strong SQL skills, experience with Spark, Airflow, cloud databases like Snowflake or Databricks, API development with GraphQL, AWS knowledge, data modeling, and familiarity with Agile methodologies.
Job location and travel
The position is located in Glendale, CA or Burbank, CA, offering an on-site work environment.
Unique job features
The role involves working with advanced technologies like Airflow, Spark, Databricks, Delta Lake, Snowflake, Kubernetes, and AWS, with a focus on data pipeline innovation and governance.
Company overview
Factspan is a data analytics and decision science company that provides tailored solutions to help businesses leverage data for strategic decision-making. Founded in 2012 and headquartered in Seattle, Washington, it specializes in services like data engineering, business intelligence, advanced analytics, and machine learning. Factspan primarily generates revenue by partnering with enterprises across industries such as retail, finance, and healthcare to deliver actionable insights and improve operational efficiency. With a strong focus on client-centric innovation, the company has built a reputation for enabling data-driven transformations and fostering long-term client relationships.
How to land this job
Tailor your resume to highlight your experience with large data pipelines, proficiency in Python, Java, or Scala, and strong SQL skills, as these are critical for Factspan's Data Engineer role.
Emphasize your hands-on experience with Spark, Airflow, Databricks, Snowflake, and AWS, along with your knowledge of data governance, pipeline orchestration, and cloud infrastructure to align with the job's technology stack and responsibilities.
Apply through multiple channels including Factspan's corporate careers page and LinkedIn to maximize your application visibility and chances of landing an interview.
Connect on LinkedIn with current Factspan data engineers, product managers, or architects within the Core Data platform team; use ice breakers like commenting on recent Factspan data initiatives or asking about their approach to data governance and pipeline optimization.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data pipelines,' 'Spark,' 'Airflow,' 'Snowflake,' 'data governance,' and 'AWS,' ensuring your resume passes automated screening effectively.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and discover LinkedIn connections to network with, allowing you to focus your time on preparing for interviews and skill development.
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