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Data Quality Developer Jobs in Dothan, AL (NOW HIRING)

Five-Star-Credit-Union

Analytics Engineer

Dothan, AL · On-site

$85K - $120K/yr

Analytics Engineer Department: Data and Analytics Classification: Exempt/Grade 13 REPORTING ... Integrate data from APIs and external systems, ensuring consistency and quality * Maintain and ...

Five Star Credit Union

Analytics Engineer

Dothan, AL · On-site

$85K - $120K/yr

Analytics Engineer Department: Data and Analytics Classification: Exempt/Grade 13 REPORTING ... Integrate data from APIs and external systems, ensuring consistency and quality * Maintain and ...

IQUASAR LLC

Senior Data Scientist

Fort Novosel, AL · Remote

Our growth means exciting career opportunities for talented professionals in engineering, software ... Demonstrated ability to produce high-quality technical documentation and research publications.

Smartlam NA Dothan LLC

Software Developer

Dothan, AL · On-site

... quality, innovative features. The ideal candidate is a strong team player with sharp problem ... Hands-on experience with Zoho and NetSuite platforms for business operations and data management.

Smartlam NA Dothan LLC

Software Developer

Dothan, AL · On-site

... quality, innovative features. The ideal candidate is a strong team player with sharp problem ... Hands-on experience with Zoho and NetSuite platforms for business operations and data management.

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Data Quality Developer information

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How much do data quality developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data quality developer in Dothan, AL is $49.48, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $58.99 per hour, depending on experience, location, and employer.

What is a data quality developer?

A Data Quality Developer is an IT professional responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes, tools, and scripts to identify and resolve data quality issues such as duplicates, missing values, or inconsistencies. Their role often involves collaborating with data engineers, analysts, and business stakeholders to define data quality requirements and standards. Additionally, Data Quality Developers monitor data pipelines, perform data profiling, and create automated tests to maintain high data integrity over time.

What are the key skills and qualifications needed to thrive as a data quality developer?

A Data Quality Developer should have strong skills in data analysis, database management, and data profiling, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, SQL, data quality platforms (like Informatica or Talend), and relevant certifications are often required. Attention to detail, problem-solving, and effective communication are crucial soft skills for collaborating with diverse teams and resolving data issues. These abilities ensure the delivery of accurate, reliable data that supports business decision-making and operational efficiency.

What are some common challenges data quality developers face when working with large datasets, and how can they overcome them?

Data Quality Developers often encounter challenges such as inconsistent data formats, missing values, and integration issues when working with large datasets from multiple sources. To overcome these, they typically implement automated validation rules, build robust data profiling scripts, and work closely with data engineers and business analysts to understand data requirements. Regular communication with stakeholders and adopting best practices for data governance can also help ensure data accuracy and reliability across the organization.

What is the difference between Data Quality Developer vs Data Analyst?

AspectData Quality DeveloperData Analyst
Primary FocusEnsuring data accuracy, consistency, and integrity through data quality processes and toolsAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsData management, SQL, data profiling, data governance certificationsData analysis, SQL, Excel, visualization tools, statistical knowledge
Work EnvironmentData management teams, IT departments, data warehousesBusiness units, marketing, finance, operations
Common UsageFocuses on data quality standards and improvementsFocuses on data insights and reporting

While both roles work with data, Data Quality Developers concentrate on maintaining high data standards and integrity, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps organizations assign the right responsibilities and skills to each role.

Data Quality Developer jobs near you

Scientific Data Analyst 3

Fort Novosel, AL • On-site

Chenega Services & Federal Solutions
IT Services • 5 - 10K employees
Learn more about Chenega Services & Federal Solutionsexternal

Full-time

Re-posted 16 days ago

Job description

Overview
Come join a company that strives for Extraordinary People and Exceptional Performance! Chenega Services & Federal Solutions, LLC, a Chenega Professional Services' company, is looking for a Scientific Data Analyst 3 to support the Injury Biomechanics and Protection Group (IBP) of the U.S. Army Aeromedical Research Laboratory (USAARL) to provide the scientific, programmatic, and technical support to allow responsive, high quality, and timely mission accomplishment within a flexible and changing environment.
Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee's knowledge, critical thinking, innovative solutions for our clients.
Responsibilities
  • Provide scientific analytical services related to data acquisition (e.g., instrumentation, high speed video, medical images, or engineering and medical databases), data management, and data analysis according to approved protocols, policies, and/or plans to ensure quality, accuracy, future use, and reproducibility of data/results.
  • Acquire, manage, and analyze data (obtained from instrumentation, high speed video, medical images, or engineering and medical databases).
  • Provide scientific analytical services related to data analysis, data scientific and engineering quality assessment, and data management according to approved protocols, policies, and/or plans to ensure quality, accuracy, future use, and reproducibility of data/results (e.g., by following scientific procedures, recording information, documenting research, and properly storing data.)
  • Perform analysis on large time series engineering/research data by writing and/or developing algorithms and processing data through COTS and/or custom analysis software.
  • Use, develop, and evaluate recommendations on Best Practices of data management, file structures, and relational databases.
  • Develop and update appropriate analysis documentation, and store documents and data in accordance with applicable regulations and procedures.
  • Ensure that plans and execution of analysis meets all applicable regulations, guidance, and procedures.
  • Provide scientific analytical services by applying the principles of statistics, numerical methods, signal processing, research, dynamics, kinematic motion analysis, and programming. Such application will require individual research, synthesis of research and mathematical literature, programming in MATLAB, modification and use of previously created MATLAB scripts, creation of batch jobs, data quality assessments, and handling large time series data sets. Additionally, documentation of analysis will be required within developed and modified scripts and codes along with scientific documentation such as papers, reports, and presentations.
  • Provide understanding of data use and analysis needs to a multi-disciplinary team including engineers, physicians, computer scientists, database developers, data entry clerks, data quality assessors, and other biomedical researchers.
  • Provide services related to the Injury Biomechanics RDT&E efforts, including the development of draft test plans and protocol documentation from literature reviews along with the collection and preparation of data for analysis and synthesis according to policy and procedures of the USAARL.
  • Work under the guidance of the Principal Investigator, Team Chief, and Group Leadership, using knowledge and training to plan and accomplish research tasks and goals.
  • Work within a research team with a small team of junior data analysts to accomplish RDT&E objectives, but work independently with minimal direction to solve analytic and technical problems.
  • Other duties as assigned.

Qualifications
  • May work variable work hours to meet performance requirements (e.g., proposal and reporting deadlines, collaborations, and lab and field data collections), including occasional night and weekend hours.
  • Must be able to obtain and maintain a state-issued driver's license for independent travel to restricted meetings and field-data collection locations.
  • Experience in numerical methods programming, data acquisition, and use of MATLAB, including MATLAB specialty toolboxes such as work with images, signals, and statistics.
  • Obtain and maintain Associate Investigator credentials.

Knowledge, Skills and Abilities:
  • Use strong communication skills and professionalism at all times.
  • Knowledge of commonly-used and advanced concepts, practices, standards, and procedures within mechanics, dynamics, and mathematics as demonstrated through a degree and coursework in a relevant STEM (Science, Technology, Engineering, and Mathematics) field from an accredited program and demonstrated through publications.
  • Excellent oral and written communication skills

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