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Data Programmer Jobs (NOW HIRING)

Data Ideology LLC

Data Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data models by integrating multiple data sources while working with business and technical teams to ...

PitchBook Data

Sr. Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Stay updated with the latest data engineering technologies and trends and share your insights with the team * Support the vision and values of the company through role modeling and encouraging ...

Luna Data Solutions, Inc.

Data Engineer - ONSITE

Butler, IN · On-site

$117K - $140K/yr

A newly formed data engineering team is expanding, and we're looking for a highly capable Data Engineer to help build the shared data environment supporting multiple manufacturing facilities. This ...

Smart Data

2245 Data Engineer III

Cincinnati, OH

$110K - $123K/yr

Data Engineer III Location: Cincinnati, OH Years of Experience: 5+ TOP SKILLS: Must Have * 4+ years of Snowflake * Business Intellgience - Data Engineering * Data Build Tool (DBT) for Development ...

New

Data Ideology LLC

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/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 ...

RFA Engineering

Data Engineer

Urbandale, IA · On-site

$80K - $120K/yr

Data Engineer As a Data Engineer, you will enable engineers, analysts, and data scientists to more effectively access, explore, and leverage enterprise data to generate insights, build models, and ...

New

PitchBook Data

Lead Data Engineer

Seattle, WA · On-site

$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 ...

MFour Data Research

Data Engineer

Kansas City, MO · On-site

They are seeking a Senior Data Engineer to own the technical core of their consumer-data pipeline, responsible for ingesting, cleaning, and unifying behavioral data into a reliable identity graph.

Alliance Credit Union

Data Engineer

Lubbock, TX · On-site

$78K - $90K/yr

The Data Engineer II plays an advanced individual contributor role in supporting these efforts by designing, building, and maintaining scalable data systems and developing software and tools that ...

Programmers.io

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks ...

campus4tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Title- Data Engineer Location- New York, NY 10112 Reporting Type- Onsite Duration: 10 months Summary This role involves building and delivering advanced data science and AI/ML solutions in an ...

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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 Jul 10, 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 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.

What are Data Programmers?

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.

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.

Is 40 too late for data science?

For a data programmer or data scientist, starting a career at 40 is feasible, as many skills such as programming, statistics, and data analysis can be learned at any age. Experience, continuous learning, and building a strong portfolio or certifications like those in Python, R, or SQL are important factors for success in the field.

What do data programmers do?

Data programmers develop, test, and maintain software that processes and manages large datasets. They often use programming languages like Python, SQL, or R and work with databases, data pipelines, and data analysis tools to ensure data is accurate and accessible for decision-making.

How do Data Programmers 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.

How to become a data programmer?

To become a data programmer, you typically need a bachelor's degree in computer science, data science, or a related field, along with strong programming skills in languages like Python, SQL, or R. Gaining experience with data manipulation, database management, and relevant tools such as Excel or data visualization software is also important. Certifications in data analysis or programming can enhance job prospects and demonstrate expertise.

Which IT job is the highest paid?

In the IT field, roles such as Chief Information Officer (CIO), IT Director, and Cloud Architect tend to be among the highest paid, often earning six-figure salaries or more. Specialized roles like Data Scientists, Cybersecurity Managers, and Software Development Managers also command high compensation, especially with advanced skills and certifications in cloud platforms, security, or data analysis.
More about DATA Programmer jobs
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What states have the most Data Programmer jobs? States with the most job openings for Data Programmer jobs include:
What job categories do people searching Data Programmer jobs look for? The top searched job categories for Data Programmer jobs are:
What are popular job titles related to Data Programmer jobs? For Data Programmer jobs, the most frequently searched job titles are:
DATA Programmer jobs near you
Infographic showing various Data Programmer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $58,536 per year, or $28.1 per hour.

Google Cloud Platform Data Engineer

PY DATA, INC.

Bentonville, AR • On-site

$97K - $117K/yr

Other

Posted yesterday

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Job description

Google Cloud Platform Data Engineer

Hybrid Bentonville, AR

6 months Contract to Hire (CTH)

Must haves:
Google Cloud Platform Data Engineering

KEY RESPONSIBILITIES

  • Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and Google Cloud Platform Dataflow
  • Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries
  • Build and maintain data pipelines feeding AI/ML feature stores and forecasting models
  • Collaborate with AI Developers to ensure high-quality, low-latency data access for model training
  • Manage and optimize Cloud Composer DAGs and pipeline orchestration
  • Implement data quality monitoring, alerting, and lineage tracking
  • Participate in data platform architecture decisions and documentation

REQUIRED QUALIFICATIONS

  • 3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience
  • Hands-on experience with Apache Airflow for pipeline orchestration
  • Proficiency in Apache Spark for large-scale data processing
  • Strong SQL skills including complex query optimization and BigQuery-specific capabilities
  • Experience with Google Cloud Platform data services: BigQuery, Cloud Storage, Pub/Sub, Dataflow
  • Solid understanding of ETL/ELT patterns and data warehousing principles

PREFERRED QUALIFICATIONS

  • Google Cloud Platform Professional Data Engineer certification
  • Experience supporting ML/AI data infrastructure (feature engineering, training datasets)
  • Familiarity with real-time streaming (Kafka, Dataflow/Flink)
  • Retail or large-scale consumer data experience

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