TMCI is seeking a DevOps Engineer to join our team and play a critical role in automating our CI/CD pipelines and supporting data engineering efforts. This role requires professional experience in standing up DevOps infrastructure, implementing CI/CD pipelines, and optimizing data engineering workflows. The ideal candidate will work within an Agile Scrum team, collaborating with data engineers and software developers to enhance the automation, efficiency, and reliability of our data pipelines and cloud infrastructure.
Key Responsibilities:
Required Qualifications:
U.S. Citizenship and the ability to obtain a DOD clearance requiredBachelor’s degree in computer science or a related fieldCandidates local to the DMV (DC Metro, Southern MD, Northern VA) preferred, however all qualified CONUS-based candidates will be considered5+ years of experience in DevOps, CI/CD automation, and cloud infrastructure managementExperience setting up and managing CI/CD pipelines using GitLab CI/CD or similar toolsExperience with integrating automated testing (unit, integration, performance, and security testing) into CI/CD pipelines to ensure software and data pipeline reliabilityExperience with test automation frameworks (e.g., PyTest, Selenium, JUnit) for CI/CD pipelinesProfessional experience working with cloud platforms (AWS, Azure, or GCP)Experience working with containerization and orchestration tools such as Docker and KubernetesStrong scripting skills in Python, Bash, or PowerShell for automation and deploymentHands-on experience with monitoring and logging tools (Prometheus, Grafana, ELK, or CloudWatch)Familiarity with data pipeline orchestration using tools like Apache Airflow, AWS Step Functions, or PrefectExperience with SQL and ETL/ELT data engineering workflowsExperience with version control systems (Git, GitHub, GitLab) and branching strategiesStrong understanding of networking, security, and IAM in cloud environmentsExperience with Agile Scrum methodologyDesired Qualifications:
Experience in distributed data processing frameworks (Apache Spark, PySpark, AWS Glue)Familiarity with serverless computing (AWS Lambda, Azure Functions, or GCP Cloud Functions)Experience in monitoring data pipeline performance and implementing observability best practicesHands-on experience with MLops and data engineering workflowsAWS, Azure, Kubernetes certifications are highly desirableSalary Range: The salary range noted represents the company’s minimum and maximum range for this role at the time of posting. The salary made at offering for this position is based on a comprehensive evaluation of candidates' skills, years of experience, and directly related expertise to the specific requirements of the role. Compensation will be determined by considering various factors, including but not limited to the individual's qualifications, competencies, and alignment with the responsibilities outlined in the job description.
TMCI is an Equal Opportunity Employer, including disability and protected veteran status.
Company DescriptionTMCI - The McVey Company, Inc. brings over 25 years of corporate experience within and in support of the Department of Defense (DOD). With a proven track record, TMCI has been involved as both a prime and sub-contractor for various projects within the Defense Health Agency (DHA) and Military Health System (MHS). We actively collaborate with companies of all sizes to expand our capabilities and better serve our customers.Company DescriptionTMCI - The McVey Company, Inc. brings over 25 years of corporate experience within and in support of the Department of Defense (DOD). With a proven track record, TMCI has been involved as both a prime and sub-contractor for various projects within the Defense Health Agency (DHA) and Military Health System (MHS). We actively collaborate with companies of all sizes to expand our capabilities and better serve our customers. Read LessJob Title: [TMC-013-004] Data Engineer – Mid & Senior-Level
Job Description:
The TMCI Data Quality Group is seeking a talented and experienced Mid and Senior Level Data Engineers to join our dedicated team. As a Healthcare IT Data Engineer, you will play a pivotal role in designing, developing, and maintaining data pipelines, databases, and analytics solutions that support data-driven decision-making and patient care improvements in the healthcare industry. This position requires a thorough understanding of modern data warehousing concepts like data lakes and data lakehouses. The ideal candidate will be familiar with data modeling techniques such as Data Vault and Star Schema, and should be proficient in building, testing, and implementing data pipelines. They should also have experience with products like DBT and understand Directed Acyclic Graphs (DAGs). This role is within a government context requiring U.S. citizenship, a college degree, and eligibility to obtain a security clearance.
Key Responsibilities:
1. Data Integration and ETL:
Design and build data integration pipelines for collecting, cleansing, and transforming healthcare data from various sources, including electronic health records (EHR), medical devices, and clinical systems.
2. Database Management:
Develop and maintain healthcare databases, ensuring data accuracy, reliability, and compliance with industry standards and regulations, including HIPAA.
3. Data Architecture:
Collaborate with data scientists, analysts, and healthcare professionals to design data architectures that enable advanced analytics, machine learning, and reporting.
4. Optimization and Performance:
Continuously optimize data processing and storage systems for enhanced performance and scalability, enabling real-time data access and analytics.
5. Data Security and Compliance:
Implement robust data security measures to protect sensitive patient information, adhere to healthcare compliance standards, and perform routine audits.
6. Data Warehousing:
Develop and maintain data warehousing solutions for efficient storage, retrieval, and analysis of large healthcare datasets.
7. Data Documentation:
Create and maintain documentation for data models, data dictionaries, and data lineage to support transparency and data governance.
8. Collaboration:
Collaborate with cross-functional teams, including data scientists, analysts, clinicians, and IT professionals, to ensure data infrastructure meets healthcare data requirements.
Required Qualifications:
U.S. Citizenship and the ability to obtain a DOD clearance requiredBachelor’s degree in Data Analytics, Information Systems, Computer Science, Statistics, or a related field from an accredited institutionCandidates local to the DMV (DC Metro, Southern MD, Northern VA) preferred, however all qualified CONUS-based candidates will be consideredMinimum 5 years’ proven experience as a Data Engineer in the healthcare industry, or relevant role in the fieldAbility to communicate complex technical issues clearly in EnglishProficiency in ETL tools, data integration platforms, and database management systems (e.g., SQL, NoSQL)Strong knowledge of healthcare data standards, terminologies (ICD-10, SNOMED), and electronic health records (EHR) systemsUnderstanding of healthcare compliance and regulations, including HIPAAExpertise in data modeling and data architectureUnderstanding of modern data warehousing concepts and experience with environments, such as RedShiftProficiency in Python and SQL, with exposure to PySparkFamiliarity with Python packages like Pandas, Spark.sql, and DuckDBKnowledge in DBT and understanding of DAGsHands-on experience with cloud platforms AWS, GCP, or AzureExperience in data modeling techniques, including Data Vault and Star SchemaPrior experience in building, testing, and implementing data pipelinesExcellent problem-solving, communication, and teamwork skillsAbility to work in a dynamic and fast-paced information technology data quality team environment servicing the healthcare industry
Desired Skills:
Experience with machine learning pipelines.Basic understanding of data management fundamentals: ETL, data governance, and data qualityKnowledge of software development methodologies and processesUnderstanding of data warehousing design principles and industry best practicesAbility to write readable, maintainable, and performant codePrior healthcare IT project-based consulting experience, highly desirable
Salary Range: The salary range noted represents the company’s minimum and maximum range for this role at the time of posting. The salary made at offering for this position is based on a comprehensive evaluation of candidates' skills, years of experience, and directly related expertise to the specific requirements of the role. Compensation will be determined by considering various factors, including but not limited to the individual's qualifications, competencies, and alignment with the responsibilities outlined in the job description.
TMCI is an Equal Opportunity Employer, including disability and protected veteran status.
Company DescriptionTMCI - The McVey Company, Inc. brings over 25 years of corporate experience within and in support of the Department of Defense (DOD). With a proven track record, TMCI has been involved as both a prime and sub-contractor for various projects within the Defense Health Agency (DHA) and Military Health System (MHS). We actively collaborate with companies of all sizes to expand our capabilities and better serve our customers.Company DescriptionTMCI - The McVey Company, Inc. brings over 25 years of corporate experience within and in support of the Department of Defense (DOD). With a proven track record, TMCI has been involved as both a prime and sub-contractor for various projects within the Defense Health Agency (DHA) and Military Health System (MHS). We actively collaborate with companies of all sizes to expand our capabilities and better serve our customers. Read Less