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HomeCompanies4c9a1f1d Ff7a 41e9 9b4a Aecb5ca84ec4 19000101 000001Data Engineer – Baltimore City, MD

Data Engineer – Baltimore City, MD

4c9a1f1d Ff7a 41e9 9b4a Aecb5ca84ec4 19000101 000001 · Falls Church, VA, US, Falls Church, VA; VA, US, VA · Active · ADP Workforce Now Recruiting

Job facts

FieldValue
Company4c9a1f1d Ff7a 41e9 9b4a Aecb5ca84ec4 19000101 000001
TitleData Engineer – Baltimore City, MD
Normalized title-
Department / team-
LocationFalls Church, VA, United States
Work model-
Employment typeContract
Salary-
Statusactive
ATS providerADP Workforce Now Recruiting
Posted / first seen2026-05-12 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from 4c9a1f1d Ff7a 41e9 9b4a Aecb5ca84ec4 19000101 000001.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through ADP Workforce Now Recruiting.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Falls Church.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

Company4c9a1f1d Ff7a 41e9 9b4a Aecb5ca84ec4 19000101 000001
Source43b0c0f0-c863-4cca-beea-e0950a3b1846
ATS providerADP Workforce Now Recruiting

Description

Data Engineer – Baltimore City, MD About us Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II. Join us in driving growth and seizing new business opportunities. Background Client is seeking a hands-on Data Engineer to design, develop, and optimize large-scale data pipelines in support of our Enterprise Data Warehouse (EDW) and Data Lake solutions. This role requires deep technical expertise in coding, pipeline orchestration, and cloud-native data engineering on AWS. The Data Engineer will be directly responsible for implementing ingestion, transformation, and integration workflows — ensuring data is high-quality, compliant, and analytics-ready. This role may support other projects or teams within MDH as needed. Role and Responsibilities Responsible for designing, building, and maintaining data pipelines and infrastructure to support data-driven decisions and analytics. The individual is responsible for the following tasks: Design, develop and maintain data pipelines, and extract, transform, load (ETL) processes to collect, process and store structured and unstructured data Build data architecture and storage solutions, including data lakehouses, data lakes, data warehouse, and data marts to support analytics and reporting Develop data reliability, efficiency, and qualify checks and processes Prepare data for data modeling Monitor and optimize data architecture and data processing systems Collaboration with multiple teams to understand requirements and objectives Administer testing and troubleshooting related to performance, reliability, and scalability H. Create and update documentation Hands-On Data Pipeline Development Design, code, and deploy ETL/ELT pipelines across bronze, silver, and gold layers of the Data Lakehouse. Build ingestion pipelines for structured (SQL), semi-structured (JSON, XML), and unstructured data using PySpark/Python programming language using AWS Glue or EMR. Implement incremental loads, deduplication, error handling, and data validation. Actively troubleshoot, debug, and optimize pipelines for scalability and cost efficiency. EDW & Data Lake Implementation Develop dimensional data models (Star Schema, Snowflake Schema) for analytics and reporting. Build and maintain tables in Iceberg, Delta Lake, or equivalent OTF formats. Optimize partitioning, indexing, and metadata for fast query performance. Healthcare Data Integration Build ingestion and transformation pipelines for EDI X12 transactions (837, 835, 278, etc.). Implement mapping and transformation of EDI data with FHIR and HL7 frameworks. Work hands-on with AWS Health Lake (or equivalent) to store and query healthcare data. Data Quality, Security & Compliance Develop automated validation scripts to enforce data quality and integrity. Implement IAM roles, encryption, and auditing to meet HIPAA and CMS compliance standards. Maintain lineage and governance documentation for all pipelines. Collaboration & Delivery Work closely with the Lead Data Engineer, analysts, and data scientists to deliver pipelines that support enterprise-wide analytics. Actively contribute to CI/CD pipelines, Infrastructure-as-Code (IaC), and automation. Continuously improve pipelines and adopt new technologies where appropriate. Minimum Qualifications The candidate should have experience as data engineer or similar role with a strong understanding of data architecture and ETL processes. The candidate should be proficient in programming languages for data processing and knowledgeable of distributed computing and parallel processing. This position requires a bachelor’s or master’s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or a related field. Three (3) years of equivalent experience in a related field may be substituted for the Bachelor’s degree. 3+ years hands-on experience in building, deploying, and maintaining data pipelines on AWS or equivalent cloud platforms. Strong coding skills in Python and SQL (Scala or Java a plus). Proven experience with Apache Spark (PySpark) for large-scale processing. Hands-on experience with AWS Glue, S3, Redshift, Athena, EMR, Lake Formation. Strong debugging and performance optimization skills in distributed systems. Hands-on experience with Iceberg, Delta Lake, or other OTF table formats. Experience with Airflow or other pipeline orchestration frameworks. Practical experience in CI/CD and Infrastructure-as-Code (Terraform, CloudFormation). Practical experience with EDI X12, HL7, or FHIR data formats. Strong understanding of Medallion Architecture for data lake houses. Hands-on experience building dimensional models and data warehouses. Working knowledge of HIPAA and CMS interoperability requirements.

Full job record

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Source ID43b0c0f0-c863-4cca-beea-e0950a3b1846
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TitleData Engineer – Baltimore City, MD
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First Seen At2026-05-31 18:58:06Z
Last Seen At2026-06-06 12:43:37Z
Last Checked At2026-06-06 12:43:37Z
Last Changed At2026-06-06 12:43:37Z
Inactive At
Source Posted At2026-05-12 20:20:00Z
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    "requisitionDescription": "<table border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\" style=\"width:100.0%;background:white;border-collapse:collapse;\" data-pasted=\"true\"><tbody><tr><td valign=\"top\" style=\"width: 15.1515%; border: 1pt solid rgb(163, 163, 163); background: rgb(0, 32, 96); padding: 4pt; vertical-align: top;\"><br></td><td valign=\"top\" style=\"width: 84.8485%; border-width: 1pt 1pt 1pt medium; border-style: solid solid solid none; border-color: rgb(163, 163, 163) rgb(163, 163, 163) rgb(163, 163, 163) currentcolor; border-image: initial; background: rgb(0, 32, 96); padding: 4pt; vertical-align: top;\"><p style='margin:0cm;font-size:15px;font-family:\"Aptos\",sans-serif;'><span style='font-size:16px;font-family:\"Calibri\",sans-serif;color:white;'>Data Engineer &ndash; Baltimore City, MD</span></p></td></tr><tr><td valign=\"top\" style=\"width: 15.1515%; border-width: medium 1pt 1pt; border-style: none solid solid; border-color: currentcolor rgb(163, 163, 163) rgb(163, 163, 163); border-image: initial; background: rgb(242, 242, 242); padding: 4pt; vertical-align: top;\"><p style='margin:0cm;font-size:15px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-size:16px;font-family:  \"Calibri\",sans-serif;color:black;'>About us&nbsp;</span></strong></p></td><td valign=\"top\" style=\"width: 84.8485%; border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: currentcolor rgb(163, 163, 163) rgb(163, 163, 163) currentcolor; background: rgb(242, 242, 242); padding: 4pt; vertical-align: top;\"><p style='margin:0cm;font-size:15px;font-family:\"Aptos\",sans-serif;'><span style='font-size:16px;font-family:\"Calibri\",sans-serif;color:black;'>Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II.</span></p><p style='margin:0cm;font-size:15px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin:0cm;font-size:15px;font-family:\"Aptos\",sans-serif;'><span style='font-size:16px;font-family:\"Calibri\",sans-serif;color:black;'>Join us in driving growth and seizing new business opportunities.</span></p></td></tr><tr><td valign=\"top\" style=\"width: 15.1515%; border-width: medium 1pt 1pt; border-style: none solid solid; border-color: currentcolor rgb(163, 163, 163) rgb(163, 163, 163); border-image: initial; background: rgb(242, 242, 242); padding: 4pt; vertical-align: top;\"><p style='margin:0cm;font-size:15px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-size:16px;font-family:  \"Calibri\",sans-serif;color:black;'>Background&nbsp;</span></strong></p></td><td valign=\"top\" style=\"width: 84.8485%; border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: currentcolor rgb(163, 163, 163) rgb(163, 163, 163) currentcolor; background: rgb(242, 242, 242); padding: 4pt; vertical-align: top;\"><p style='margin:0cm;font-size:15px;font-family:\"Aptos\",sans-serif;'><span style='font-size:16px;font-family:\"Calibri\",sans-serif;color:black;'>Client is seeking a hands-on Data Engineer to design, develop, and optimize large-scale data pipelines in support of our Enterprise Data Warehouse (EDW) and Data Lake solutions. This role requires deep technical expertise in coding, pipeline orchestration, and cloud-native data engineering on AWS. The Data Engineer will be directly responsible for implementing ingestion, transformation, and integration workflows &mdash; ensuring data is high-quality, compliant, and analytics-ready. This role may support other projects or teams within MDH as needed.&nbsp;</span></p></td></tr><tr><td valign=\"top\" style=\"width: 15.1515%; border-width: medium 1pt 1pt; border-style: none solid solid; border-color: currentcolor rgb(163, 163, 163) rgb(163, 163, 163); border-image: initial; background: rgb(242, 242, 242); padding: 4pt; vertical-align: top;\"><p style='margin:0cm;font-size:15px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-size:16px;font-family:\"Calibri\",sans-serif;color:black;'>Role and Responsibilities&nbsp;</span></strong></p><p style='margin:0cm;font-size:15px;font-family:\"Aptos\",sans-serif;'><br></p></td><td valign=\"top\" style=\"width: 84.8485%; border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: currentcolor rgb(163, 163, 163) rgb(163, 163, 163) currentcolor; background: rgb(242, 242, 242); padding: 4pt; vertical-align: top;\"><p style='margin:0cm;font-size:15px;font-family:\"Aptos\",sans-serif;'><span style='font-size:16px;font-family:\"Calibri\",sans-serif;color:black;'>Responsible for designing, building, and maintaining data pipelines and infrastructure to support data-driven decisions and analytics. The individual is responsible for the following tasks:&nbsp;</span></p><p style='margin:0cm;font-size:15px;font-family:\"Aptos\",sans-serif;'><br></p><ol style=\"margin-bottom:0cm;margin-top:0cm;\" start=\"1\" type=\"A\"><li style=\"margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:-18.0pt;font-size:16px;font-family: initial;color:black;\"><span style='font-family:\"Calibri\",sans-serif;'>Design, develop and maintain data pipelines, and extract, transform, load (ETL) processes to collect, process and store structured and unstructured data&nbsp;</span></li><li style=\"margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:-18.0pt;font-size:16px;font-family: initial;color:black;\"><span style='font-family:\"Calibri\",sans-serif;'>Build data architecture and storage solutions, including data lakehouses, data lakes, data warehouse, and data marts to support analytics and reporting&nbsp;</span></li><li style=\"margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:-18.0pt;font-size:16px;font-family: initial;color:black;\"><span style='font-family:\"Calibri\",sans-serif;'>Develop data reliability, efficiency, and qualify checks and processes&nbsp;</span></li><li style=\"margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:-18.0pt;font-size:16px;font-family: initial;color:black;\"><span style='font-family:\"Calibri\",sans-serif;'>Prepare data for data modeling&nbsp;</span></li><li style=\"margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:-18.0pt;font-size:16px;font-family: initial;color:black;\"><span style='font-family:\"Calibri\",sans-serif;'>Monitor and optimize data architecture and data processing systems&nbsp;</span></li><li style=\"margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:-18.0pt;font-size:16px;font-family: initial;color:black;\"><span style='font-family:\"Calibri\",sans-serif;'>Collaboration with multiple teams to understand requirements and objectives&nbsp;</span></li><li style=\"margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:-18.0pt;font-size:16px;font-family: initial;color:black;\"><span style='font-family:\"Calibri\",sans-serif;'>Administer testing and troubleshooting related to performance, reliability, and scalability&nbsp;</span></li></ol><p style='margin:0cm;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-family:\"Calibri\",sans-serif;color:black;'>H. Create and update documentation</span></p><p style='margin:0cm;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin:0cm;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-family:\"Calibri\",sans-serif;color:black;'>Hands-On Data Pipeline Development&nbsp;</span></p><ul style=\"margin-bottom:0cm;margin-top:0cm;\" type=\"disc\"><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Design, code, and deploy ETL/ELT pipelines across bronze, silver, and gold layers of the Data Lakehouse.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Build ingestion pipelines for structured (SQL), semi-structured (JSON, XML), and unstructured data using PySpark/Python programming language using AWS Glue or EMR.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Implement incremental loads, deduplication, error handling, and data validation.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Actively troubleshoot, debug, and optimize pipelines for scalability and cost efficiency.&nbsp;</span></li></ul><p style='margin:0cm;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin:0cm;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-family:\"Calibri\",sans-serif;color:black;'>EDW &amp; Data Lake Implementation&nbsp;</span></p><ul style=\"margin-bottom:0cm;margin-top:0cm;\" type=\"disc\"><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Develop dimensional data models (Star Schema, Snowflake Schema) for analytics and reporting.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Build and maintain tables in Iceberg, Delta Lake, or equivalent OTF formats.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Optimize partitioning, indexing, and metadata for fast query performance.&nbsp;</span></li></ul><p style='margin:0cm;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin:0cm;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-family:\"Calibri\",sans-serif;color:black;'>Healthcare Data Integration&nbsp;</span></p><ul style=\"margin-bottom:0cm;margin-top:0cm;\" type=\"disc\"><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Build ingestion and transformation pipelines for EDI X12 transactions (837, 835, 278, etc.).&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Implement mapping and transformation of EDI data with FHIR and HL7 frameworks.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Work hands-on with AWS Health Lake (or equivalent) to store and query healthcare data.&nbsp;</span></li></ul><p style='margin:0cm;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin:0cm;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-family:\"Calibri\",sans-serif;color:black;'>Data Quality, Security &amp; Compliance&nbsp;</span></p><ul style=\"margin-bottom:0cm;margin-top:0cm;\" type=\"disc\"><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Develop automated validation scripts to enforce data quality and integrity.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Implement IAM roles, encryption, and auditing to meet HIPAA and CMS compliance standards.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Maintain lineage and governance documentation for all pipelines.&nbsp;</span></li></ul><p style='margin:0cm;font-size:16px;font-family:\"Aptos\",sans-serif;'><br></p><p style='margin:0cm;font-size:16px;font-family:\"Aptos\",sans-serif;'><span style='font-family:\"Calibri\",sans-serif;color:black;'>Collaboration &amp; Delivery&nbsp;</span></p><ul style=\"margin-bottom:0cm;margin-top:0cm;\" type=\"disc\"><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Work closely with the Lead Data Engineer, analysts, and data scientists to deliver pipelines that support enterprise-wide analytics.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Actively contribute to CI/CD pipelines, Infrastructure-as-Code (IaC), and automation.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;color:black;'>Continuously improve pipelines and adopt new technologies where appropriate.</span></li></ul></td></tr><tr><td valign=\"top\" style=\"width: 15.1515%; border-width: medium 1pt 1pt; border-style: none solid solid; border-color: currentcolor rgb(163, 163, 163) rgb(163, 163, 163); border-image: initial; background: rgb(242, 242, 242); padding: 4pt; vertical-align: top;\"><p style='margin:0cm;font-size:15px;font-family:\"Aptos\",sans-serif;'><strong><span style='font-size:16px;font-family:\"Calibri\",sans-serif;color:black;'>Minimum Qualifications</span></strong></p></td><td valign=\"top\" style=\"width: 84.8485%; border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: currentcolor rgb(163, 163, 163) rgb(163, 163, 163) currentcolor; background: rgb(242, 242, 242); padding: 4pt; vertical-align: top;\"><ul style=\"margin-bottom:0cm;margin-top:0cm;\" type=\"disc\"><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>The candidate should have experience as data engineer or similar role with a strong understanding of data architecture and ETL processes. The candidate should be proficient in programming languages for data processing and knowledgeable of distributed computing and parallel processing.</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>This position requires a bachelor&rsquo;s or master&rsquo;s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or a related field. Three (3) years of equivalent experience in a related field may be substituted for the Bachelor&rsquo;s degree.</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>3+ years hands-on experience in building, deploying, and maintaining data pipelines on AWS or equivalent cloud platforms.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Strong coding skills in Python and SQL (Scala or Java a plus).&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Proven experience with Apache Spark (PySpark) for large-scale processing.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Hands-on experience with AWS Glue, S3, Redshift, Athena, EMR, Lake Formation.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Strong debugging and performance optimization skills in distributed systems.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Hands-on experience with Iceberg, Delta Lake, or other OTF table formats.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Experience with Airflow or other pipeline orchestration frameworks.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Practical experience in CI/CD and Infrastructure-as-Code (Terraform, CloudFormation).&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Practical experience with EDI X12, HL7, or FHIR data formats.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Strong understanding of Medallion Architecture for data lake houses.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;color:black;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;'>Hands-on experience building dimensional models and data warehouses.&nbsp;</span></li><li style=\"margin:0cm;font-size:16px;font-family: initial;margin-left:-18.0pt;\"><span style='font-family:\"Calibri\",sans-serif;color:black;'>Working knowledge of HIPAA and CMS interoperability requirements.</span></li></ul></td></tr></tbody></table>\n",
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