Senior Data Engineer

First Help Financial•Needham, MA

9d•$125,000•Remote

About The Position

First Help Financial (FHF) is a fast-growing and culturally diverse company in the U.S. We provide auto loans to the underserved and care for our customers and partners with exceptional service. Through flexible financing options and tri-lingual support, we offer consumers an easier way to finance their first car. We lend to and support our portfolio which has consistently grown 30%+ each year over the last nine years. Here you will find hard-working colleagues who come from over 20 countries. We hold ourselves to the highest standards of professionalism but also enjoy our work. Our culture and benefits are geared towards making you successful in life and comfortable at work. Your Title: Senior Data Engineer. Your Location: Remote/Anywhere in the US. You Report To: Associate Director, Enterprise Data. Compensation: $125,000 or more depending upon experience plus a bonus. Learn more about our awesome Analytics team! About the Opportunity: First Help Financial, recently voted as a " Great Place to Work " for the fifth year in a row is seeking a Senior Data Engineer to join our highly skilled and innovative team. First Help Financial is embarking on a new growth phase involving multiple game-changing projects.

Requirements

8+ years of experience in designing, building, testing, and maintaining data pipelines and data platforms.
5 years of hands-on experience as a technical lead on a Data Engineering team, serving as the go-to person to resolve critical issues.
Expertise in SQL databases or data warehouses (such as Oracle, SQL Server, MySQL, Postgres and AWS RDS) and ETL technologies (such as Rivery, Informatica, DataStage, Talend, Fivetran).
Strong knowledge of data architecture, distributed processing, data modeling, and platform reliability engineering.
Hands-on experience with modern data warehouse and cloud data platform architectures including AWS and Snowflake.
Experience establishing and operating enterprise data governance capabilities, including data quality, lineage, metadata, and stewardship practices.
Proven ability to influence cross-functionally, such as with internal stakeholders or engineering teams.
Self-motivated and proactive, with a strong ability to identify issues and challenge the status quo.
Degree in Computer Science or related field/experience.

Nice To Haves

Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks is a plus.
Working experience in financial services, especially auto finance and lending is preferred.
Expert level knowledge in python is desired.

Responsibilities

Lead data engineering delivery to build reliable, scalable pipeline leveraging Snowflake, Sigma and other applications to support complex data analytics and self-service reporting.
Drive integration with popular tools and services in the broader data warehousing ecosystem.
Optimize architectural performance across the Data stack by refining execution parameters and enforcing best practice strategies to maximize resource efficiency and throughput.
Establish and evolve a data governance operating model across data quality, lineage, metadata management, stewardship, cataloging, and lifecycle management.
Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads.
Coordinate with internal stakeholders to ensure effective communication, issue resolution, and on-time delivery of projects.
Participate in weekend and weekday on call rotation.