AdTechTalent
Engineering1 month agoHybrid

Epsilon

Software Engineer

pythonapache sparkdatabricksscalajavahadoophiveawskubernetesdockerairflowsqlmachine learningbig datadata pipelinesetlcloud

Key details

Salary

$74K – $137K

Employment type

Full-time

Seniority

Entry

Years experience

0-2

Location

Westminster, United States

Full job description

Seeking a Software Engineer with 1-3 years experience in scalable, distributed environments to join Epsilon's Data Practice team. Responsibilities include designing, developing, and maintaining scalable data processing solutions using Python, Apache Spark, and Databricks on-premises and cloud (AWS). Optimize Spark jobs, build fault-tolerant data pipelines with monitoring and alerting, develop SQL queries, and collaborate with cross-functional teams. Required skills: Scala, Python, or Java programming; Apache Spark; Hadoop and Hive exposure; cloud platform experience (AWS preferred); Kubernetes, Docker, and Airflow exposure; strong problem-solving and communication skills; BA/BS in Computer Science or related field. Machine Learning experience and Databricks certifications are a plus. Location: Westminster, Colorado, USA. Salary range: $73,500 - $136,500 annually. Benefits include flexible time off, paid holidays, sick time, parental leave, health coverage, 401(k), tuition assistance, and more.

What you'll do

  • Design, develop, and maintain scalable data processing solutions on-premises and cloud
  • Optimize and fine-tune Spark jobs for performance and resource utilization
  • Design and implement scalable, fault-tolerant data pipelines with monitoring, alerting, and logging
  • Leverage AWS and Databricks cloud services to build and manage data pipelines and distributed workloads
  • Develop and optimize SQL queries across relational and data warehouse systems
  • Apply design patterns and best practices for data modeling, partitioning, and distributed system performance
  • Use Git or equivalent for source control and maintain unit and integration testing
  • Collaborate with Product Owners and cross-functional teams to translate business requirements into technical solutions
  • Extract actionable insights from large datasets to support data-driven decision-making

Requirements

  • 1-3 years of software development experience in scalable, distributed, or multi-node environments
  • Proficient in Scala, Python, or Java
  • Experience with Apache Spark and exposure to Hadoop, Hive, and related big data technologies
  • Experience with cloud platforms, preferably AWS
  • Exposure to Kubernetes, Docker, and MWAA/Airflow
  • Strong problem-solving skills and ability to own problems end-to-end
  • Consultative mindset with strong communication and collaboration skills
  • BA/BS in Computer Science or related discipline
  • Experience in Machine Learning including model development, feature engineering, or integrating ML workflows
  • Experience with Databricks tools such as Notebooks, Delta Lake, Jobs, Pipelines, and Unity Catalog preferred
  • AWS, Databricks, or Spark certification is a plus

Tech stack

PythonApache SparkDatabricksScalaJavaHadoopHiveAWSKubernetesDockerMWAAAirflowSQLDelta LakeGit

Benefits

Flexible time off (FTO)15 paid holidaysPaid sick timeParental/new child leaveChildcare & elder care assistanceAdoption assistanceComprehensive health coverage401(k) planTuition assistanceCommuter benefitsProfessional developmentEmployee recognitionCharitable donation matchingHealth coaching and counseling

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