Lead a team of data engineers transforming data from disparate systems to enable insights and analytics for business stakeholders.
Create technical roadmaps and recommend strategies for data pipelines and integration.
Leverage cloud-based infrastructure to implement scalable, resilient, and efficient data engineering solutions.
Collaborate with data analysts, data scientists, database administrators, cross-functional teams, and business stakeholders to solve problems.
Influence architectural decisions and design patterns across the data platform.
Provide technical leadership across the software development lifecycle, from design to deployment, including hands-on contribution.
Develop project plans, facilitate prioritization timelines, allocate resources, and take ownership of assigned technical projects in a fast-paced environment.
Perform code reviews and ensure data engineers follow best-practice coding standards.
Define and validate test cases to ensure data quality, reliability, and a high level of confidence.
Continuously improve quality, efficiency, and scalability of data pipelines, reducing gaps and inconsistencies.

Requirements

Bachelor of Science in Computer Science or equivalent
7+ years of post-degree professional experience
4+ years building and maintaining ETL pipelines in a data warehouse environment
5+ years of Python development experience
Experience hiring and leading a team of 3+ data engineers, including supervision, goal-setting, and supporting professional growth
Strong communication and interpersonal skills to initiate and drive projects
Experience with AWS integrations such as Kinesis, Firehose, Aurora Unload, Redshift, Spectrum, Elastic Mapreduce, SageMaker, and Lambda
Experience provisioning data sets for analytics tools such as Tableau, Quicksight, or similar, and knowledge of analytic tools such as R, Tableau, Plotly, and Python Pandas
Expert SQL skills (including performance tuning, indexes, and materialized views) and proficiency designing and executing NoSQL databases to optimize big data storage and retrieval
Experience with API integrations with external vendors to push/pull data between organizations, and familiarity with data orchestration pipelines using Argo or Airflow

Benefits

Medical, dental, vision and life insurance
Retirement savings – 401(k) plan with generous company matching contributions (up to 6%)
Tuition reimbursement up to $5,250/year
Business-casual environment that includes the option to wear jeans
Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
Paid volunteer time — 16 hours per calendar year
Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

ETL pipelinesPythonSQLNoSQL databasesdata qualitydata engineeringdata integrationdata orchestrationperformance tuningtest case validation

Soft skills

leadershipcommunicationinterpersonal skillsproblem-solvingproject managementteam supervisiongoal-settingresource allocationcollaborationtechnical leadership

Certifications

Bachelor of Science in Computer Science