Sr. Data Engineer I (6290) at MetroStar

St. Louis, Missouri, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

167000.0

Posted On

15 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, AWS, Infrastructure-as-Code, Terraform, CloudFormation, Ansible, Security Principles, Python, Go, Bash, Nifi, Hadoop, Kafka, Cloudera Data Platform, Communication Skills

Industry

Software Development

Description

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 with CI poly required 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 To apply for this position, please submit your resume via the form below or through our careers page: https://www.metrostar.com/jobs/ Application Deadline: Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration. Additional Compensation: This role may also be eligible for bonuses and/or additional incentives based on individual and company performance. Benefits: All full-time employees are eligible to participate in our benefits programs: Health, dental, and vision insurance 401(k) retirement plan with company match Paid time off (PTO) and holidays Parental Leave and dependent care Flexible work arrangements Professional development opportunities Employee assistance and wellness programs Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. What we want you to know: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Not ready to apply now? Sign up to join our newsletter here.

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Responsibilities

You will work with team members to build, deploy, and operate data pipelines and engineering components. This includes collaborating with cross-functional teams to ensure optimized performance and efficient delivery of solutions.