Engineering Manager, Data Engineering
TrueML
- New York, New York, United States
- New York, New York, United States
À propos
What You'll Do:
Empower a Talented Team:
Lead, manage, and mentor a group of data engineers, fostering their career development and championing a culture of technical excellence.
Architect Resilient Infrastructure:
Own the design and development of data pipelines and systems to ensure they are prepared for company-wide expansion.
Champion Data Trust:
Act as a relentless advocate for data quality by implementing the system controls and SLAs necessary for flawless production processes.
Collaborate Strategically:
Partner cross-functionally with Data Science and Product managers to translate complex business needs into efficient, well-documented data models.
Maintain Technical Excellence:
Perform high-impact code reviews and provide critical guidance to optimize ETL pipelines and schema performance.
Balance Leadership with Craft:
Contribute directly to development work and troubleshooting alongside your team when the mission requires it.
Drive Data Accessibility:
Ensure data is a true business enabler by making it reliable and easily accessible for stakeholders across the company.
Who You Are:
An Experienced Leader:
You have 2+ years of hands‑on management experience and 5+ years of relevant data engineering expertise, with a track record of growing teams through coaching.
A Big Data Expert:
You have deep familiarity with modern technologies like Snowflake, Airflow, BigQuery, or Redshift, and mastery of both RDBMS and NoSQL databases.
A Master of the Stack:
You possess advanced proficiency in Python or Java and expert‑level SQL skills, specifically in scaling schemas and tuning ETL performance.
A Systems Thinker:
You have extensive experience designing data warehouses and workflow systems, including owning SLAs for critical production processes.
An Elite Communicator:
You are a natural bridge‑builder who can translate deep technical hurdles into clear, actionable updates for business partners.
Purpose‑Driven:
You thrive in environments that value intentional progress and are excited to mature a data ecosystem from the ground up.
Bonus Skills:
You bring experience with Spark, Scala, or Protocol Buffers, or you have navigated the unique regulatory challenges of the FinTech industry.
$111,700 - $148,900 a year
Compensation Disclosure:
This information reflects the anticipated base salary range for this position based on current national/regional data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors.
#J-18808-Ljbffr
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.