Hiring Data Engineer in Louisville

CodeHire Global Solutions INC is a data solutions publisher and integrator specializing in the logistics, healthcare, and retail sectors, with clients across the United States, Europe, and Asia. Based in Louisville, Kentucky, our 45-person company has grown 30% annually over the past three years, driven by rising demand for compliant, high-performance data analysis solutions. We are currently expanding our 12-person data engineering team to support high-impact projects, including a logistics demand forecasting platform for a major U.S. transportation provider and a patient journey tracking tool for a network of European clinics.

We are hiring a full-time Data Engineer for a hybrid role based in Louisville, Kentucky, with 3 mandatory on-site days per week. Relocation from other U.S. states is accepted, with a $5,000 relocation bonus for eligible candidates. We are looking for a professional with 5 to 7 years of experience in data engineering in a cloud environment, ready to invest in concrete, high-value projects.

Your core responsibilities will include:
- Design, build, and maintain scalable ETL/ELT pipelines processing more than 15 TB of raw data daily, using Apache Spark, Airflow, and dbt, with a 99.8% processing success rate and incident resolution within 2 hours during business hours, in line with client-defined service level agreements (SLAs).
- Optimize data storage and processing infrastructure on AWS (S3, Redshift, Glue, IAM) and MongoDB Atlas, implementing partitioning and caching strategies to reduce storage costs by 20% over 12 months and improve business query response times by 35%.
- Collaborate with data scientists, business analysts, and product teams to translate functional requirements into reliable data architectures, delivering a minimum of 2 new integrated data sources per quarter for logistics demand forecasting and patient journey tracking projects.
- Implement and maintain automated tests covering 95% of critical pipeline use cases, using tools such as Great Expectations, to reduce data errors by 40% and ensure data quality for reports compliant with HIPAA (healthcare) and GDPR (European personal data) regulations.
- Manage and update technical documentation of architectures, processing workflows, and best practices on a weekly basis, enabling new team members to become operational in less than 2 weeks.
- Oversee data access security, applying at-rest and in-transit encryption policies in line with healthcare and financial sector regulatory requirements, and conducting quarterly access audits.
- Participate in continuous team process improvement, proposing and implementing at least 2 workflow optimizations per quarter to reduce new pipeline deployment time by 25%.
- Coach and train junior data analysts on SQL best practices and data tool usage, with monthly progress tracking.

Our data team is made up of 12 specialists with varied profiles who work closely together on high-impact projects. We operate in agile mode with 2-week sprints, and encourage initiative and knowledge sharing during our weekly technical review sessions and quarterly workshops dedicated to experimenting with new data tools. The work environment is relaxed but rigorous on deliverable quality, with a clear work-life balance: no work emails after 7 p.m. outside of planned crisis periods, and a minimum of 20 paid vacation days per year.

Requirements for this role:
- 5 to 7 years of professional experience in data engineering, with proven experience designing large-scale data processing pipelines.
- Proficiency in the following tools: AWS (S3, Redshift, Glue, IAM), MongoDB Atlas, Apache Spark, Airflow, dbt, Python, SQL, and at least one data testing tool such as Great Expectations.
- Knowledge of data protection regulations (HIPAA, GDPR) and data infrastructure security best practices.
- Ability to translate business needs into technical solutions, and present complex topics to non-technical audiences.
- Team spirit, ability to solve complex problems, and adaptability to fast-changing environments.
- Bachelor's degree in Computer Science, Data Engineering or a related field.

The compensation for this role ranges from $95,000 to $125,000 per year, depending on experience and skills, with an annual bonus of 10 to 15% linked to team and project performance. We also offer the following benefits:
- 80% coverage of health insurance premiums for you and your dependents
- 20 paid vacation days per year + 10 RTT days
- 401k retirement savings plan with 6% employer matching of contributions
- Annual training budget of $2,500 per employee, with full coverage for international data conferences (AWS re:Invent, Data Council, etc.)
- Flexible working hours, with the ability to adjust your on-site presence schedule to fit personal constraints
- 2 remote work days per week, and 1 optional remote work day per month if you live more than 50 miles from Louisville
- Quarterly performance bonus of up to $2,000 based on team results.

We offer clear career growth paths within our data team: you can progress to Lead Data Engineer, Data Architect, or even data team management roles, with personalized development plans and mentorship from our in-house data experts. You will also have the opportunity to work on international projects for European and Asian clients, with up to 2 fully covered business trips per year.

Our recruitment process takes place over 4 steps, with a maximum total duration of 2 weeks:
1. Application: send your CV and a short text presenting your experience and motivations to [email protected], with the subject line "Candidature Data Engineer - Louisville". We commit to responding to all applications within 10 business days.
2. 30-minute phone interview with the HR manager to verify profile alignment with our expectations and provide more details about the role and company.
3. 1.5-hour technical interview with the data team: short practical test on designing a simple ETL pipeline, and discussion of your past experience and technical skills.
4. 45-minute interview with the Chief Technology Officer and data team lead to discuss upcoming projects and your growth prospects within the company.

A job offer is sent within 48 hours of the final interview, with a 10-day response window. If your profile does not match this role, we will keep your application for 6 months and contact you if a position matching your skills becomes available.