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Talend Developer Jobs in Virginia (NOW HIRING)

Data Engineer

Arlington, VA · Remote

$131.70K - $158.20K/yr

Proficiency with Python, SQL, and ETL frameworks (e.g., Apache NiFi, Talend, or AWS Glue ... Developer, CompTIA Security+ CE (DoD 8570), Certified Data Management Professional (CDMP) or ...

... engineers, architects, QA teams, and business stakeholders in agile environments • Present ... Talend, or similar ETL/data integration tools • Exposure to A/B testing and experimentation ...

New

Experience with data cleansing tools (SQL Server Data Quality Services, Trifacta, Talend, Alteryx , etc. ) . * Knowledge of programming languages such as Python . * Familiarity with ETL and automated ...

Data Conditioning Systems Engineer

Chantilly, VA · On-site

$118.30K - $142.10K/yr

Data Conditioning Systems Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please ... Proficiency in data transformation tools like Talend or Apache NiFi * Experience with scripting ...

Data Conditioning Systems Engineer

Tysons, VA · On-site

$114.90K - $138K/yr

Data Conditioning Systems Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please ... Proficiency in data transformation tools like Talend or Apache NiFi * Experience with scripting ...

Data Conditioning Systems Engineer

Tysons, VA

$114.90K - $138K/yr

Data Conditioning Systems Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note ... Proficiency in data transformation tools like Talend or Apache NiFi * Experience with scripting ...

They are seeking an experienced ETL Engineer to design, build, and maintain data pipelines and ... Strong experience with ETL tools such as Informatica, Talend, SSIS, AWS Glue, or Azure Data Factory ...

Data Conditioning Systems Engineer

Reston, VA · On-site

$119.30K - $143.30K/yr

Data Conditioning Systems Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note ... Proficiency in data transformation tools like Talend or Apache NiFi * Experience with scripting ...

Data Conditioning Systems Engineer

Chantilly, VA · On-site

$118.30K - $142.10K/yr

Data Conditioning Systems Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please ... Proficiency in data transformation tools like Talend or Apache NiFi * Experience with scripting ...

Data Conditioning Systems Engineer

Reston, VA · On-site

$119.30K - $143.30K/yr

Data Conditioning Systems Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please ... Proficiency in data transformation tools like Talend or Apache NiFi * Experience with scripting ...

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Talend Developer information

See Virginia salary details

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How much do talend developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for talend developer in Virginia is $61.27, according to ZipRecruiter salary data. Most workers in this role earn between $57.21 and $67.93 per hour, depending on experience, location, and employer.

What Is the Job Description of a Talend Developer?

A Talend developer works with enterprise and product architects, program owners, and engineers to bring big data projects into production. Responsibilities include designing, developing, and documenting Talend ETL processes, technical architecture, data pipelines, and performance scaling using tools to integrate Talend data and ensure data quality in a big data environment. You administer Talend software for large-scale data integration and advise and support each client along the way. Other duties include informing source system owners of any data quality problems, performing data requirements analyses, assisting with data flow, data mapping, and more.

What are the key skills and qualifications needed to thrive as a Talend Developer, and why are they important?

To thrive as a Talend Developer, you need strong skills in data integration, ETL processes, and a solid understanding of SQL and databases, typically supported by a degree in computer science or a related field. Proficiency with the Talend suite of tools, knowledge of cloud platforms, and certifications such as Talend Data Integration Certification are highly valued. Analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and address complex data challenges. These skills ensure efficient data management, project success, and the ability to meet organizational data goals.

What are some common challenges a Talend Developer may face when working with large-scale data integration projects?

Talend Developers working on large-scale data integration projects often encounter challenges such as handling complex data transformations, ensuring data quality, and optimizing ETL job performance. Managing dependencies across multiple data sources and maintaining clear documentation can also be demanding, especially when collaborating with cross-functional teams. Staying updated with Talend’s evolving features and best practices is essential to deliver efficient, scalable solutions and meet project timelines.

What are Talend Developers?

Talend Developers are IT professionals who specialize in using Talend, a popular open-source data integration platform, to design, develop, and manage data integration processes. They are responsible for extracting, transforming, and loading (ETL) data from various sources, ensuring data quality, and supporting business intelligence and analytics activities. Talend Developers often work with databases, cloud environments, and other data tools to help organizations efficiently manage and leverage their data assets.

What is the difference between Talend Developer vs Data Engineer?

AspectTalend DeveloperData Engineer
Required SkillsProficiency in Talend, ETL processes, SQL, data integrationProgramming (Python, Java), data architecture, ETL, cloud platforms
CertificationsTalend certifications, data management certificationsCloud certifications (AWS, GCP), data engineering certifications
Work EnvironmentData integration projects, ETL development, data migrationBuilding data pipelines, data architecture, large-scale data processing
Industry UsageUsed mainly in data integration and migration projectsUsed in data infrastructure, big data, and analytics platforms

While Talend Developers focus on designing and implementing data integration solutions using Talend tools, Data Engineers build and maintain scalable data pipelines and infrastructure, often using a broader set of programming languages and cloud technologies. Both roles are essential in data management but differ in scope and technical focus.

What are the most commonly searched types of Talend Developer jobs in Virginia? The most popular types of Talend Developer jobs in Virginia are:
What are popular job titles related to Talend Developer jobs in Virginia? For Talend Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Talend Developer jobs in Virginia look for? The top searched job categories for Talend Developer jobs in Virginia are:
What cities in Virginia are hiring for Talend Developer jobs? Cities in Virginia with the most Talend Developer job openings:
What are popular job titles related to Talend Developer jobs in VA? For Talend Developer jobs in VA, the most frequently searched job titles are:
Infographic showing various Talend Developer job openings in Virginia as of May 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 95% Physical, and 5% Hybrid job distribution, with an average salary of $127,448 per year, or $61.3 per hour.
Health Data Engineer - Mid

$115.70K - $139K/yr

Full-time

Posted 29 days ago


Job description

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.


We are seeking a results-driven Mid-Level Data Engineer to join our team and contribute to developing cutting-edge healthcare data solutions. This role involves building, managing, and optimizing data pipelines, ensuring the reliable acquisition, storage, transformation, and delivery of data for our health-focused applications and analytics platforms with a primary focus on Medicare, Medicare Advantage, and risk adjustment.

The ideal candidate will bring a strong background in data engineering and analytics, as well as familiarity with healthcare data and compliance requirements. You will play a critical role in ensuring data integrity, accessibility, and security, ultimately facilitating valuable insights and better outcomes for patients, healthcare providers, and stakeholders.

This is an exceptional opportunity to use your technical and analytical skills to make an impact in the healthcare space, working with large datasets to drive innovative solutions that enhance patient care and healthcare processes.

  • Data Pipeline Development:
    • Architect and build scalable, reliable, and secure data pipelines to gather, process, and store healthcare data from multiple sources.
    • Create and optimize ETL/ELT workflows, ensuring proper data extraction, transformation, and loading into analytics-ready databases or data warehouses.
    • Design, implement, and manage cloud-based data engineering solutions using cloud platforms.
  • Database Management & Optimization:
    • Develop and maintain robust, scalable data storage solutions such as relational databases (SQL Server, PostgreSQL, MySQL) or NoSQL databases (MongoDB, Cassandra, DynamoDB).
    • Tune database performance, troubleshoot issues, and implement optimizations to handle large-scale data sets efficiently.
    • Ensure data reliability and integrity through schema design, normalization, and validation processes.
  • Healthcare Data Integration & Analytics Support:
    • Integrate data across healthcare applications and systems
    • Prepare clean, well-organized datasets for downstream analytics and machine learning projects to improve patient outcomes and healthcare workflows.
    • Collaborate with data analysts and product teams to provide data solutions that support reporting, dashboards, and decision-making tools.
  • Security, Compliance & Monitoring:
    • Implement security measures to protect sensitive healthcare data and ensure compliance with healthcare regulations (e.g., HIPAA).
    • Monitor data pipelines and infrastructure, addressing bottlenecks or failures to ensure system uptime and data accessibility.
    • Proactively identify and address security vulnerabilities or inconsistencies in data systems.
  • Collaboration and Documentation:
    • Work closely with developers, DevOps engineers, product managers, and healthcare specialists to understand requirements, share insights, and align on project goals.
    • Document data models, pipelines, API integrations, and best practices for reference and knowledge sharing.
    • Contribute to the overall technical strategy for optimizing health data processing and usage.

MINIMUM QUALIFICATIONS

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Minimum of 5 years of professional experience as a Data Engineer, Data Analyst, or a similar role, preferably with exposure to healthcare data projects or financial/banking systems.
    • Proficiency with structured and unstructured data querying tools (SQL, PostgreSQL, or NoSQL databases like MongoDB).
    • Strong knowledge of ETL/ELT processes, data warehousing, and analytics frameworks (e.g., Snowflake, Redshift, BigQuery, Databricks, or Apache Spark).
    • Hands-on experience with data pipeline tools such as Apache Airflow, Talend, NiFi, or similar platforms.
    • Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including tools for data processing (e.g., AWS Glue, S3, Athena).
    • Expertise in programming/scripting languages like Python, PySpark, Java, or Scala for data manipulation and automation tasks.
    • Knowledge of containerization tools, including Docker and Kubernetes, for data system deployment.
    • Familiarity with data visualization tools (e.g., Tableau, Power BI) and an understanding of analytics concepts.
    • Understanding of healthcare data security and compliance requirements (e.g., HIPAA).
    • Experience with encryption, data masking, and access controls to protect sensitive health information.
  • Strong analytical and problem-solving capabilities, with the ability to work with large-scale datasets and maintain their integrity.
  • Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
  • Ability to work in a fast-paced healthcare setting and adapt to evolving project requirements.
  • Strong attention to detail, organization, and commitment to quality.

PREFERRED QUALIFICATIONS

  • Familiarity with healthcare compliance requirements such as HIPAA or GDPR.
  • Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or Linux Foundation Certified Kubernetes Administrator.
  • Experience in federal consulting.
  • Demonstrated experience with health projects, including those involving Medicare and health data.

Target salary range: $90,620 - $115,754

Disclaimer: 

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

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