Data Ops Engineer

Expression - Annapolis, MD

Full-time - Mid Level

Annapolis, MD

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About the position

Expression is seeking a skilled Data Ops Engineer to join our team in Annapolis, MD on a hybrid role. This position is crucial for bridging data and infrastructure teams, ensuring reliable, efficient, and scalable data systems that empower data-driven decision-making for clients. The role offers opportunities for professional growth while working on impactful projects in a collaborative environment that encourages innovation and learning.

Responsibilities

• Design, implement, and maintain robust data infrastructure, including databases, data warehouses, and data lakes.
• Develop, deploy, and test ETL pipelines for extracting, transforming, and loading data from various sources.
• Collaborate with data scientists and data engineers to integrate and test machine learning models within data systems.
• Implement automation and orchestration tools to streamline data operations and minimize manual processes.
• Continuously assess and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness.
• Establish proactive monitoring and alerting mechanisms to detect and address potential issues in real time.
• Work closely with cross-functional teams to understand evolving data requirements and deliver tailored solutions.
• Create comprehensive documentation of data infrastructure, pipelines, and processes.

Requirements

• Top Secret with capability to obtain a CI Poly
• Security+ certification (or willingness to get certified within the first month)
• Associates degree or higher in engineering, computer science, or related field and 5+ years of experience as a DevOps/Cloud/Software engineer -OR- 8+ years of experience as a DevOps/Cloud/Software engineer
• Proficiency in programming languages such as Python, Java, or Scala
• Strong experience with relational databases (e.g., PostgreSQL, MySQL) and big data technologies (e.g., Hadoop, Spark)
• Experienced with Elasticsearch and Cloud Search
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Experience with data pipeline orchestration tools (e.g., Airflow, Luigi) and workflow automation tools (e.g., Jenkins, GitLab CI/CD)
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) is a plus
• Proven experience maintaining production systems for external customers
• Experience working with Open Source Technologies such as Red Hat (OpenShift) and Linux/Unix
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills.

Nice-to-haves

• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) is a plus.

Benefits

• 401k matching
• PPO and HDHP medical/dental/vision insurance
• Education reimbursement
• Complimentary life insurance
• Generous PTO and holiday leave
• Onsite office gym access
• Commuter Benefits Plan