Data Ops Engineer
Data Ops Engineer
Posted on :
16-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
16-04-2025
Job Description
hatch I.T. is partnering with Expression to find a Data Ops Engineer. See details below:
About The Role:
Expression is seeking a skilled Data Ops Engineer to join their team in Annapolis MD on a hybrid role. As a Data Ops Engineer you will play a crucial role in bridging their data and infrastructure teams. This strategically designed position offers you the chance to tackle challenging tasks that will foster your professional growth and development. You will be at the forefront of ensuring our data systems are reliable efficient and scalable enabling seamless data flows that empower datadriven decisionmaking for their clients. This is an opportunity to grow your career while working on challenging projects that make a real impact. You will be a vital part of a collaborative environment that encourages innovation learning and professional development.
About the Company:
Founded in 1997 and headquartered in Washington DC Expression provides data fusion data analytics software engineering information technology and electromagnetic spectrum management solutions to the U.S. Department of Defense Department of State and national security community. Expressions Perpetual Innovation culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our clients. Expression was ranked #1 on the Washington Technology 2018s Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
Responsibilities:
- Design implement and maintain robust data infrastructure including databases data warehouses and data lakes to support our rapidly expanding data landscape. You will engage and lead initiatives that enhance our data capabilities and drive innovation.
- Develop deploy and test ETL pipelines for extracting transforming and loading data from various sources. You will ensure data quality and integrity playing a key role in the accuracy of our analytical insights.
- Collaborate with data scientists and data engineers to integrate and test machine learning models within our data systems ensuring smooth functionality and high performance. This aspect of the role provides an exciting opportunity to work at the intersection of data engineering and machine learning.
- Implement cuttingedge automation and orchestration tools to streamline data operations minimize manual processes and boost efficiency. Your contributions will significantly enhance our operational capabilities.
- Continuously assess and optimize data pipelines and infrastructure for performance scalability and costeffectiveness. You will identify and resolve bottlenecks ensuring that our systems can handle growing demands.
- Establish proactive monitoring and alerting mechanisms to detect and address potential issues in real time. Your vigilance will help maintain high availability and reliability of our data systems.
- Work closely with crossfunctional teamsincluding data scientists analysts and software engineersto understand evolving data requirements. You will be instrumental in delivering tailored solutions that align with business objectives.
- Create comprehensive documentation of data infrastructure pipelines and processes. Help us promote a culture of continuous improvement by sharing knowledge and best practices within the team.
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.
- Handson 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.
- Data pipeline management
- Proven experience maintaining production systems for external customers
- Experience working with Open Source Technologies such as Red Hat (OpenShift) and Linux/Unix
- Engaging with Data engineers in troubleshooting issues
- Excellent problemsolving skills and attention to detail.
- Strong communication and collaboration skills.
$100000 $160000 a year
Employment Type
Full-Time
Key Skills
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