Data Engineering Manager
YipitData
- Saint Paul, Illinois, United States
- Saint Paul, Illinois, United States
About
YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData
Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose : We move fast, support each other, and aim high—always with purpose and intention About The Role
We are looking for a highly skilled Data Engineering Manager to join our Data Engineering team and play a central role in building and scaling our vendor universe—the database of companies we track and analyze. Reporting directly to the Senior Director of Data Engineering, this role demands technical leadership, independence, and the ability to deliver under tight deadlines in a fast-paced environment. As a Data Engineering Manager, you will design and maintain large-scale data pipelines, define best practices for ETL, and integrate emerging technologies to keep our platform on the cutting edge. You’ll work cross-functionally to deliver reliable, efficient, and scalable data solutions while contributing hands-on expertise in Databricks, Airflow, PySpark, and SQL. What You’ll Do
Own the design, build, and optimization of end-to-end data pipelines that power our vendor universe. Establish and enforce best practices in data modeling, orchestration, and system reliability. Collaborate with product, engineering, and business stakeholders to translate requirements into robust, scalable data solutions. Work extensively with Databricks and Airflow for large-scale data processing and orchestration. Troubleshoot and resolve complex pipeline issues to ensure reliability and performance. Contribute to the team’s technical strategy, helping drive improvements in scalability, performance, and efficiency. Lead, mentor, and support engineers through challenges, code reviews, and project execution. What We’re Looking For
6+ years
of professional experience in Data Engineering or equivalent technical roles (e.g., data architecture, big data development, or ETL engineering). 2+ years of managerial experience , including mentoring, team leadership, and supporting delivery. Strong expertise in
SQL
and distributed data systems. Proficiency with
PySpark
and
Databricks
for processing and scaling large datasets. Hands‑on experience with
Airflow
for pipeline orchestration (Dagster/dbt a plus). Proven track record of delivering in fast-paced, deadline-driven environments with minimal oversight. Strong problem‑solving skills and ability to translate business needs into scalable technical solutions. Excellent communication and collaboration skills with both technical and non-technical stakeholders. Nice to Have
Experience leveraging
AI/ML models, vector search , or
Elasticsearch
to enhance data pipelines. Familiarity with
Django
or similar web frameworks to support data-driven applications. Remote & Location Flexibility
This is a remote-friendly opportunity that can sit in NYC (headquarters), one of our office hubs (Austin, Miami, Denver, or Mountain View), or elsewhere in the US. Depending on remote work location, income may be subject to New York State tax withholding. Additional Information
We are not able to consider candidates who currently or will require visa sponsorship. What We Offer
Our compensation package includes comprehensive benefits, perks, and a competitive salary. Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! Growth is driven by impact, not tenure, office politics, or facetime. The annual on-target earnings for this position are anticipated to be up to $215,000–$240,000. Additional factors like experience, skills, and team benchmarks influence the final offer. The compensation package also includes equity. Equal Employment Opportunity
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.
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Languages
- English
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