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Data Programmer Jobs (NOW HIRING)

We are looking for a performance-oriented, innovative and self-motivated team player to join our Clinical Data Sciences team as a full-time Electronic Data Capture (EDC) Database Developer / Clinical ...

We are looking for a performance-oriented, innovative and self-motivated team player to join our Clinical Data Sciences team as a full-time Electronic Data Capture (EDC) Database Developer / Clinical ...

Data Engineer with Security Clearance

Reston, VA ยท On-site

$119K - $143K/yr

At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world ...

Data Engineer - GCP

Atlanta, GA ยท Remote

$117K - $140K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA ยท Remote

$117K - $140K/yr

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer - (Snowflake) Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client ...

We are looking for a performance-oriented, innovative and self-motivated team player to join our Clinical Data Sciences team as a full-time Veeva Clinical Database Programmer . You will be ...

We are looking for a performance-oriented, innovative and self-motivated team player to join our Clinical Data Sciences team as a full-time Veeva Clinical Database Programmer . You will be ...

... Programmer) to support SAS modernization efforts by analyzing existing workflows and developing scalable data pipelines for a cloud migration initiative. The role involves collaboration with ...

... Database Programmer to join our Data Management team in our Cincinnati, OH office. The position ... Coordinate with Data Managers to develop and maintain clinical study electronic data capture (EDC ...

... Database Programmer to join our Data Management team in our Cincinnati, OH office. The position ... Coordinate with Data Managers to develop and maintain clinical study electronic data capture (EDC ...

... Database Programmer to join our Data Management team in our Cincinnati, OH office. The position ... Coordinate with Data Managers to develop and maintain clinical study electronic data capture (EDC ...

Lead Data Engineer

Seattle, WA

$130K - $156K/yr

Act as a technical mentor and coach a team of data engineers with diverse experience levels * Uplevel the team's capabilities in SQL, Python, data modeling, and system design * Establish coding ...

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DATA Programmer information

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$15

$28

$46

How much do data programmer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data programmer in the United States is $28.14, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $29.81 per hour, depending on experience, location, and employer.

What is a data programmer?

Data Programmers are professionals who write, maintain, and optimize code related to data processing, analysis, and management. They often work with large datasets, using programming languages such as SQL, Python, or R to extract, transform, and load data for use in databases or analytics platforms. Data Programmers play a crucial role in ensuring data integrity, efficiency, and accessibility, supporting business intelligence and decision-making processes. They may also collaborate with data analysts, engineers, and other IT professionals to develop automated data workflows and solutions.

How does a data programmer typically collaborate with data analysts and other stakeholders during a project?

Data Programmers play a crucial role in bridging the gap between raw data and actionable insights by working closely with data analysts, project managers, and sometimes even business stakeholders. They are responsible for building, maintaining, and optimizing data pipelines, ensuring data is accessible and reliable for analysis. Regular meetings, code reviews, and collaborative problem-solving sessions are common, allowing Data Programmers to understand project goals, clarify data requirements, and quickly address any issues that arise. This teamwork ensures that data workflows align with business needs and that the final outputs are both accurate and timely.

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

To thrive as a Data Programmer, you need strong programming skills in languages like SQL, Python, or R, along with a degree in computer science, information technology, or a related field. Familiarity with database management systems (such as MySQL, Oracle, or PostgreSQL), data visualization tools, and data integration platforms is typically required. Attention to detail, problem-solving ability, and effective communication are important soft skills for collaborating with teams and ensuring data accuracy. These skills and qualities are essential for efficiently managing, transforming, and delivering reliable data solutions that drive business decisions.

What is the difference between Data Programmer vs Data Analyst?

AspectData ProgrammerData Analyst
Required CredentialsTypically a degree in computer science, programming, or related field; coding certificationsOften a degree in statistics, mathematics, or related field; data analysis certifications
Work EnvironmentPrimarily in software development or IT teams, focusing on coding and database managementIn business or research settings, focusing on interpreting data and generating reports
Employer & Industry UsageTech companies, software firms, data-centric organizationsFinance, marketing, healthcare, and other industries requiring data insights

While both roles involve working with data, Data Programmers focus on coding, database management, and software development, whereas Data Analysts interpret data to provide insights. Understanding these differences helps in choosing the right career path or job search focus.

How much do data programmers make?

Data programmers typically earn a median annual salary ranging from $70,000 to $110,000, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with specialized skills in programming languages like Python or SQL can earn higher salaries.
More about DATA Programmer jobs

What cities are hiring for Data Programmer jobs?

Cities with the most Data Programmer job openings:

What states have the most Data Programmer jobs?

States with the most job openings for Data Programmer jobs include:

Infographic showing various Data Programmer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $58,536 per year, or $28.1 per hour.

AD, Principal Clinical Data Engineer

Boehringer Ingelheim Pharmaceuticals, Inc

Ridgefield, CT โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Description
Key contact partner in cultivating the "power of data" by means of (i) data collection/curation, data review, data delivery, (ii) data standardization or (iii) process definition, testing and training. Translate the science into technical specifications. Collect, ingest, structure, curate and standardize all kinds of Clinical Trial related data from internal and external sources. Ensure Data Quality and Integrity by implementing plausibility checks, anomaly detection, and fraud detection methods in data collection systems, with a strong focus on ensuring SDTM compliance, traceability, and readiness for regulatory submission. Supports the clinical research development process through the provision of advanced expertise in the areas of (i) data collection/curation, data review, delivery (ii) data standardization or (iii) process definition, testing and training.Possesses strong expertise in CDISC standards, particularly SDTM, including the ability to design, implement, review, and govern SDTM mapping specifications, datasets, and transformations to ensure regulatory-compliant data structures. This position interprets scientific/clinical requirements to translate and document them into Therapeutic Area/Project level technical specifications for new substances, indications or marketing claims.
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.
Duties & Responsibilities
  • Accountable/Responsible to interpret requirements to translate and document them into project/TA level technical specifications. Provision clinical project/ TA level data to business consumers. Facilitate requirements gathering from consumers and develop global solutions to meet immediate and long-term needs of the business. Monitor and maintain ongoing project/ TA level operations of clinical data environments and respond to project/TA issues.
  • Leads and oversees all CDE tasks performed by an external partner. Oversees CRO capacities/budget for outsourced trial/project tasks.
  • Develop/test different ways to constantly improve data reliability, integrity and quality. Ensures real-time inspection readiness of all data collection, data review/data delivery (DBL) deliverables for a trial/project and participates in regulatory agency and BI internal audits as necessary.
  • Collaborate with/influence members of the development team within BDS and with neighboring colleagues at BI on the project/product goals. Contributes to cross-functional- and team-based thinking.
  • Keep abreast of data science and in particular new data collection/curation/standardization/digital tech solutions and innovative processes/tools within and outside BI. Turn derived insights into new CDE approaches relevant for clinical development, registration, and marketing of drugs.
  • Conduct and support data collection/curation/standards process & tool trainings for Clinical Data Engineers.
  • Participate in or Lead cross-functional BI internal process development teams and drive/plan relevant CDE (data collection/curation/standardization) aspects. Participate in external working groups.

Requirements
  • Bachelor's degree from an accredited institution, in Life Sciences, Computer Science, Software/Computer Engineering, or similar preferred, with many (greater than or equal to seven (>/= 7)) years of professional experience; Or
  • Master's degree (e.g. MBA, MSc) from an accredited institution, in Life Sciences, Computer Science, Software/Computer Engineering, or similar preferred, with greater than or equal to three (3) years of professional experience.
  • Initial experience within the pharmaceutical industry, CROs or academic sites.
  • Leadership experience required.
  • Broad knowledge and advanced experience in understanding of clinical trial development process required.
  • In-depth knowledge and experience with the use of Data Collection Tools (EDC systems), Data Review Tools, and/or Data Standardization methods, requirements
  • Thorough knowledge/experience in design of clinical trials, basic medical terminology and on processing clinical trial information.
  • Demonstrated ability to build/test, curate, oversee and interpret data in complex clinical trial and in projects with established BI experience.
  • Intellectual curiosity to find new and unusual ways solving data collection / curation / standardization / process definition, testing and training issues.
  • Excellent organizational skills, problem solving abilities, negotiation skills, time management skills and initiative required.
  • Strong communication skills: Confident and persuasive communicator to ensure that the message is clear and well understood.
  • Ability to work collaboratively on multi-disciplinary project teams and proactively manage relationships with external vendors required.
  • Mindful of local, global, internal and external cultures to ensure that messages are received positively and effectively.
  • Ability to lead and facilitate meetings required.
  • Ability to develop and deliver (technical) training required.
  • Language skills: English: fluent (Read/Write/Speak).
  • Know, understand, and implement:
    • International regulations and guidelines for good clinical and statistical practice from all ICH regions
    • The various international guidelines on clinical development, data standardization, and
    • BI processes and SOPs that govern clinical development in particular with respect to strategic areas (e.g. Clinical Development Plan)

Compensation
This position offers a base salary typically between $140,000 and $222,000. The position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here .