As a Sr. Data Engineer I, you’ll work with team members to build, deploy, and operate data pipelines and data engineering components to enable data brokering and exchange capabilities across a diverse range of producers and consumers. In this role, you will be responsible for building robust, scalable data pipelines while working collaboratively with cross-functional teams to ensure seamless integration, optimized performance, and efficient delivery of solutions.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do: 

• Work with team members to operationalize data pipelines and supporting cloud infrastructure
• Collaborate with external data producers and consumers to obtain and provide data through interfaces such as REST APIs and S3
• Provide day-to-day support of deploying Python-native data pipelines and performing data engineering tasks to enable data brokering and exchange capabilities
• Provide Tier 2/3 troubleshooting and incident resolution support for data pipelines in Production

What you’ll need to succeed: 

• Active TS/SCI required with CI poly preferred 
• 4+ years of proven experience in data engineering, with expertise in designing, developing, and maintaining data ingestion, transformation, and loading pipelines and components
• Demonstrated experience in designing and deploying data pipelines leveraging AWS cloud infrastructure across multiple classification domains (e.g., IL5 to IL6+)
• Experience with Infrastructure-as-Code (IaC) tools, including Terraform, CloudFormation, or Ansible, to automate deployment of data pipeline cloud infrastructure
• Understanding of RMF security principles and hands-on experience implementing security controls for data pipelines in cloud environments
• Strong scripting and programming skills in languages such as Go, Python, and Bash
• Experience with data pipeline tools and technologies such as Nifi, Hadoop, HDFS, and Kafka. Experience implementing data pipelines in the Cloudera Data Platform environment is highly preferred.
• Strong communication skills, with the ability to clearly convey complex technical concepts

SALARY RANGE: $125,000 - $167,000

The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: 

• The candidate's professional background and relevant work experience
• The specific responsibilities of the role and organizational needs
• Internal equity and alignment with current team compensation
• This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:
• Performance-based bonuses
• Company-paid training and/or certifications
• Referral bonuses