Senior Software Engineer

UNAVAILABLE; Westminster (CO); On-site; USD 88,900 - 165,100; Full time

Benefits offered by this job

Flexible time off

Paid sick time

Childcare assistance

401(k)

Tuition assistance

Job summary

Epsilon is looking for a qualified Senior Software Engineer to join their Development Team in Westminster, Colorado. In this role, you will work on Epsilon's TotalSource Plus (TSP) demographic and lifestyle products. The role involves designing, developing, and maintaining scalable data processing solutions using Python and Apache Spark on Databricks.

The ideal candidate will have over 5 years of software development experience and significant exposure to big data technologies. Epsilon offers various benefits including flexible time off, comprehensive health coverage, and opportunities for professional development.

Qualifications

• 5+ years of software development experience in a scalable, distributed, or multi-node environment.
• Significant experience with Apache Spark and exposure to Hadoop, Hive, and related big data technologies.
• Experience in Machine Learning and integrating ML workflows into data pipelines.

Responsibilities

• Design, develop, and maintain scalable data processing solutions.
• Optimize and fine-tune Spark jobs for performance, maximizing efficiency.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.

Skills

Software development experience

Apache Spark

Python or Scala programming

AWS cloud services

Data modeling

Collaboration

Education

BA/BS in Computer Science or related discipline

Tools

Databricks

Git

Kubernetes

Job description

Job Description

For this role, we are seeking a qualified Senior Software Engineer to join Epsilon’s Development Team in our Data Practice. In this role with our company, you will be focused on project tasks for Epsilon's TotalSource Plus (TSP) demographic and lifestyle products.

Responsibilities

What you’ll do:

• Design, develop, and maintain scalable data processing solutions across on-premises and cloud environments using Python and Apache Spark on Databricks.
• Optimize and fine-tune Spark jobs for performance, including resource utilization, shuffling, partitioning, and caching, to ensure maximum efficiency in large-scale big data environments.
• Design and implement scalable, fault-tolerant data pipelines with end-to-end monitoring, alerting, and logging.
• Leverage AWS cloud services (2+ years preferred) to build and manage data pipelines and distributed processing workloads.
• Develop and optimize SQL queries across relational and data warehouse systems (RDBMS/Data Warehouse).
• Apply design patterns and best practices for efficient data modeling, partitioning, and distributed system performance.
• Use Git (or equivalent) for source control and maintain strong unit and integration testing practices.
• Collaborate with Product Owners, partners, and cross-functional teams to translate business requirements into technical solutions.
• Demonstrate strong analytical skills with the ability to extract actionable insights from large datasets and support data-driven decision-making.
• Mentor junior engineers, conduct code reviews, and contribute to establishing engineering best practices and standards.

Qualifications

About you:

• 5+ years of software development experience in a scalable, distributed, or multi-node environment.
• Proficient in programming with Scala, Python, or Java; comfortable building data-driven solutions at scale, with Databricks preferred.
• Significant experience with Apache Spark and exposure to Hadoop, Hive, and related big data technologies.
• Demonstrated experience with cloud platforms (AWS, preferred) and an interest in cloud migration projects.
• Exposure to modern data tools and frameworks such as Kubernetes, Docker, and MWAA/Airflow.
• Strong problem-solving skills with the ability to own problems end-to-end and deliver results.
• Consultative mindset — comfortable taking initiative, building relationships, communicating broadly, and tackling challenges head-on.
• Collaborative team player with an eagerness to learn from peers and mentors while contributing to a culture of growth.
• Motivated to grow your career within a dynamic, innovative company.

What you’ll bring:

• BA/BS in Computer Science or related discipline.
• At least 5 years of experience as a big data software developer.
• Experience in Machine Learning, including model development, feature engineering, or integrating ML workflows into data pipelines.
• Experience with Databricks, including Notebooks, Delta Lake, Jobs, Pipelines, and Unity Catalog, preferred.
• AWS, Databricks, or Spark certification a plus.

Benefits

• Time to Recharge: Flexible time off (FTO), 15 paid holidays
• Time to Recover: Paid sick time
• Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance
• Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling

Equal Opportunity Employment

Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to [e-mail] to request an accommodation.

For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.

#LI-AM1

Compensation Range: USD $88,900.00 - USD $165,100.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 6/24/2026.