TrueAccordRemote
Engineering Manager, Data Engineering
United States of America
Full Time
5 hours ago
$112,000 - $149,000 USD
H1B Sponsor Likely
Key skills
Data EngineeringData Pipeline DesignData Warehouse DesignETL Performance TuningSQLPythonJavaRDBMSNoSQL DatabasesSnowflakeAirflowBigQueryRedshiftData Quality ManagementSLA ManagementScalaNoSQLETLSpark
About this role
TrueML is seeking an Engineering Manager for their Data Platform to architect a robust data ecosystem. The role involves leading a team of data engineers, ensuring data integrity, and collaborating with cross-functional partners to meet business needs.
Responsibilities:
- Lead, manage, and mentor a group of data engineers, fostering their career development and championing a culture of technical excellence
- Own the design and development of data pipelines and systems to ensure they are prepared for company-wide expansion
- Act as a relentless advocate for data quality by implementing the system controls and SLAs necessary for flawless production processes
- Partner cross-functionally with Data Science and Product managers to translate complex business needs into efficient, well-documented data models
- Perform high-impact code reviews and provide critical guidance to optimize ETL pipelines and schema performance
- Contribute directly to development work and troubleshooting alongside your team when the mission requires it
- Ensure data is a true business enabler by making it reliable and easily accessible for stakeholders across the company
Requirements:
- 2+ years of hands-on management experience
- 5+ years of relevant data engineering expertise
- Track record of growing teams through coaching
- Deep familiarity with modern technologies like Snowflake, Airflow, BigQuery, or Redshift
- Mastery of both RDBMS and NoSQL databases
- Advanced proficiency in Python or Java
- Expert-level SQL skills, specifically in scaling schemas and tuning ETL performance
- Extensive experience designing data warehouses and workflow systems
- Owning SLAs for critical production processes
- Ability to translate deep technical hurdles into clear, actionable updates for business partners
- Thrives in environments that value intentional progress
- Excited to mature a data ecosystem from the ground up
- Experience with Spark, Scala, or Protocol Buffers
- Navigated the unique regulatory challenges of the FinTech industry