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EchoStar

Data Engineer II

EchoStar
Englewood, CO $83k - $119k/yr Full time Posted 5d ago
Big Data Bigdata Cloud Data Engineering Cloud Data Platform Cloud Platform Cloud Platforms Data Data Analysis Data Analytics Data Architecture Data Engineer Data Engineering Data Integration Data Lakehouse Data Pipeline Data Platform Data Processing Data Warehouse Database Databases Databricks Engineer ETL Informatica Information Technology (IT) Programming Programming Languages Spark SQL
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Job Description

EchoStar is hiring a Data Engineer II for an onsite role in Englewood, CO. This position focuses on building high-performance data pipelines for both batch and streaming processing using AWS and Apache Spark, while leading proof-of-concept work that explores workflow orchestration and Generative AI automation to improve data quality, documentation, and governance.

Compensation: USD 83,160 - 118,800 per year. Candidates must be able to complete a pre-employment screen, which may include a drug test and a DMV check. The active posting will remain live for a minimum of 3 days and will extend by 3 days until the role is filled.

What you’ll do

  • Design, build, and optimize scalable data pipelines for batch and streaming data from internal and external sources
  • Develop and manage processing jobs using Apache Spark on Amazon EMR clusters, balancing performance, cost-efficiency, and scalability
  • Implement transformation logic and complex workflows primarily with Python, PySpark, and SQL
  • Lead a proof-of-concept evaluating Apache Airflow as an enterprise workflow orchestration tool, including designing and deploying Directed Acyclic Graphs (DAGs)
  • Explore integration points for Amazon Q into data pipelines for automated data quality checks, data documentation generation, or pipeline optimization as part of the orchestration POC
  • Implement CI/CD for data platform components using GitLab, using Infrastructure-as-Code templates and maintaining data governance, security, and quality across the lifecycle
  • Participate in at least one in-person interview

What you bring

  • Education: Bachelor’s Degree in Computer Science, Data Engineering, or a related technical field
  • Experience: at least 2 years in Big Data and Data Engineering
  • At least 2 years each with: Python and SQL
  • At least 2 years each with: Amazon EMR and Apache Spark
  • At least 2 years each with: Apache Airflow or Control M
  • At least 2 years with GitLab CI/CD pipelines
  • At least 2 years with Amazon Q or other Generative AI tools
  • Preferred: experience with Databricks

Technologies you’ll work with

Python, PySpark, SQL, Apache Spark, Amazon EMR, Amazon Q, Apache Airflow, Control M, Git, GitLab, Infrastructure-as-Code, Terraform, AWS CloudFormation, Amazon EC2, Amazon S3, DAGs, Databricks

Benefits

  • Flexible spending accounts
  • HSA
  • 401(k) Plan with company match
  • ESPP
  • Career opportunities
  • Flexible time away plan

All benefits can be viewed here: EchoStar Benefits.

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