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DATA ENGINEER TEAM LEAD (HYBRID)

Enova • Arlington Heights, IL 60005 • Posted today

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Hybrid • Full-time • Mid Level Manager

Job Highlights

Using AI ⚡ to summarize the original job post

The Data Engineer Team Lead at Enova oversees a team of engineers in the design and implementation of technical solutions to address business challenges. This role involves close collaboration with Product Management, Analytics, and Operations, as well as working alongside other Software Engineering teams to ensure the delivery of impactful business outcomes. The Team Lead acts as a multiplier, guiding peers through technical best practices and knowledge sharing, managing project timelines and expectations, and ensuring seamless delivery of solutions.

Responsibilities

  • Lead a team and technical initiatives by designing and architecting solutions that meet the business needs.
  • Ensure data accuracy, reliability, and performance.
  • Collaborate with principals, peers, leadership, and the business to execute solutions.
  • Act diligently to respond to urgent projects and tasks.
  • Troubleshoot discrepancies in existing databases, data pipelines, warehouses, and reporting.
  • Work as a “full stack” Data Engineer, contributing to each phase of the SDLC.
  • Build new pipelines between two data sources or work with the business to design and develop new dashboards.
  • Advise on best practices and innovative designs/solutions.
  • Perform other functions as assigned by management to support the operation of the business.

Qualifications

Required

  • 10+ years of strong database and SQL experience
  • 7+ years of experience leading projects/teams in fast-paced dynamic environments
  • 5+ years of Python, OOP, SDLC, and CI/CD experience
  • Experience designing and implementing ETL/ELT frameworks for complex data mart projects
  • Experience working with Jenkins/Airflow or other job orchestration/runner frameworks
  • Experience working with Relational Database Management Systems, including PostgreSQL, RDS, and Cloud Data Warehouses such as Snowflake and AWS Redshift

Preferred

  • A Bachelor’s or Master’s degree in Engineering, Computer Science, IT or related study
  • AWS and/or Snowflake Certifications

Full Job Description

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.About the Role:The Data Engineering, Warehouse, and Operations Team crafts sustainable data strategies and delivers impactful solutions across the organization. We integrate and optimize data at both project and enterprise levels, driving streamlined processes, greater efficiencies, and smarter decision-making. By focusing on the critical last mile of data, we address the unique needs of various teams with tailored solutions, leveraging our software and AWS expertise. This high-energy, dynamic team operates at the heart of a business-critical domain.As a Team Lead, you will oversee a team of engineers in the design and implementation of technical solutions to address business challenges. You will collaborate closely with Product Management, Analytics, and Operations, and work alongside other Software Engineering teams to ensure the delivery of impactful business outcomes.Our most effective Team Leads act as multipliers, guiding peers through technical best practices and knowledge sharing. They excel in managing project timelines and expectations, fostering strong cross-functional partnerships, continuously refining the software development lifecycle (SDLC) process, swiftly addressing production and operational issues, and proactively managing risks to ensure seamless delivery.Responsibilities:Lead a team and technical initiatives by designing and architecting solutions that meet the business needs, ensuring data accuracy, reliability, and performanceCollaborating with principals, peers, leadership, and the business to execute solutionsAct diligently to respond to urgent projects and tasksTroubleshooting discrepancies in existing databases, data pipelines, warehouses, and reportingWork as a “full stack” Data Engineer, contributing to each phase of the SDLC, building a new pipeline between two data sources or working with the business to design and develop a new dashboardUsage of Python, Go, Postgres, Kafka, and several parts of AWS.Advise on best practices and innovative designs/solutions Perform other functions as assigned by management to support the operation of the businessRequirements:Experience designing, developing, and working with dimensional models is a must.10+ years of strong database and SQL experience 7+ years of experience leading projects/teams from conception to completion in fast-paced dynamic environments5+ years of Python, OOP, SDLC, and CI/CD, designing and implementing ETL/ELT frameworks for complex data mart projectsProven experience in architecting, designing, implementing, and maintaining multi-layered SQL and Python processesExperience working with Jenkins/Airflow or other job orchestration/runner frameworksExperience working with Relational Database Management Systems, including PostgreSQL, RDS, and Cloud Data Warehouses such as Snowflake and AWS Redshift.A Bachelor’s or Master’s degree in Engineering, Computer Science, IT or related study is preferredNice to have: AWS and/or Snowflake CertificationsBenefits & Perks:Hybrid roles entail working in-office from Tuesday to Thursday, with the choice to work remotely on Mondays and FridaysHealth, dental, and vision insurance including mental health benefits401(k) matching plus a roth option (U.S. Based employees only)PTO & paid holidays offSabbatical program (for eligible roles)Summer hours (for eligible roles)Paid parental leaveDEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)Employee recognition and rewards programCharitable matching and a paid volunteer day…Plus so much more!About EnovaEnova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossusplatform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here. It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.