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Trainee Azure Data Factory Developer Jobs in Virginia

Design and implement ETL pipelines using cloud-native services (e.g., AWS Glue, Azure Data Factory ... Collaborate with data engineers, architects, and business analysts to deliver robust data solutions.

Cloud ETL Developer

Richmond, VA · On-site

$50.50 - $66.25/hr

SR ETL Developer The client is seeking a senior ETL developer to ingest/transform and load Data ... Deep knowledge of coding languages, such as Azure Data Factory, Databricks, python, XML, and SQL.

Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud * Understanding of data models, large datasets, business/technical ...

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Data Warehouse/BI Developer 3 Chesterfield, Va. 23236 Onsite Senior Business Intelligence (BI ... Knowledge of Azure Data Services (Data Factory, Synapse Analytics). * Exposure to data governance ...

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Proficiency in programming languages such as Python, Java, or Scala. * Strong experience with ETL/ELT processes and tools (Apache Spark, Airflow, Informatica, Talend, Azure Data Factory, etc.

Jr Data Engineer

Richmond, VA · On-site

$70K - $75K/yr

Exposure to Microsoft Azure cloud computing platforms including Azure Data Factory (ADF ... Microsoft developer certifications Why MARKETview Education Partners? The MARKETview team is united ...

Data Architect

Mclean, VA

$64.50 - $83/hr

Proficiency in programming languages such as Python, Java, or Scala. * Strong experience with ETL/ELT processes and tools (Apache Spark, Airflow, Informatica, Talend, Azure Data Factory, etc.

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Trainee Azure Data Factory Developer information

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Infographic showing various Trainee Azure Data Factory Developer job openings in Virginia as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

$116K - $139K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Data Engineer for developing and maintaining ETL solutions to drive clinical
operations, advanced analytics, and machine learning models. This position will work
collaboratively with the technology team to support our clinical, operational, and
finance teams to integrate data from diverse sources for consumption by internal and
external stakeholders
Responsibilities:
• Responsible for the development, testing, maintenance, and optimization of
cloud-native data and ETL solutions.
• Work on small to mid-sized and cross-functional IT and business intelligence
solutions.
• Participate in the workstream planning process including inception,
requirements gathering, technical design, development, testing and delivery of
ETL solutions.
• Collaborate with Analytics & Reporting, Data Science, Machine Learning,
Analytics Engineering, IT Infrastructure, and other Technology teams in
solution design, development, and deployment.
• Practice business guidelines to protect PHI and ensure secure communication
channels for transfer of such data.
• Exercise best practice Agile communication and documentation through
channels like JIRA, Confluence
• Follow DevOps/DataOps best practices throughout software development
lifecycle (SDLC).
Qualifications
• Bachelor's degree in Computer Science, Information Technology, Engineering,
Mathematics, or equivalent.
• 2 - 5 years professional experience in Data Engineering (or similar) role
• Experience in designing and implementing data applications and data
architectures.
• Experience with open-source data frameworks like Spark and/or experience
with cloud data platforms is preferred.
• Healthcare experience in a Payer or Provider/Hospital Organization preferred.
• Experience in Azure data technologies is a bonus (Azure Data Factory,
Synapse, Cosmos DB, Azure SQL).
• Experience with DevOps/DataOps practices is a bonus.
• Experience or familiar with Agile or a similar process.
• Experience in implementing ELT and ETL solutions.
Knowledge, Skills, and Abilities:
• Experience with at least one database/data warehouse solution (e.g., MySQL,
MSSQL, Synapse, Snowflake, RedShift).
• Strong coding proficiency in at least one programming language (preferably
Python)
• Experience using industry standard Python libraries for data exploration,
analysis, and transformation (e.g., Pandas, Numpy, etc.)
• Experience using REST APIs
• Proficient in writing SQL Code for SQL queries, views, stored procedures,
etc.
• Experience working with data housed in file formats including TXT, CSV,
JSON, YAML, Parquet, XLSX
• Problem-solving aptitude and critical thinking skills
• Excellent communication and presentation skills