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Data Solutions Developer Jobs in Alabama (NOW HIRING)

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... data transformation solutions. As a Manager, you will lead teams and manage client accounts ...

Data Engineer (Senior)

Huntsville, AL · On-site

$104K - $141K/yr

Data Engineer (Senior) Location: Redstone Arsenal Position Type: Full-Time Position Overview We are ... Develop and optimize data processing solutions using Apache Spark * Work with relational databases ...

Data Engineer (Senior)

Huntsville, AL · On-site

$104K - $141K/yr

Develop and optimize data processing solutions using Apache Spark * Work with relational databases ... Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and ...

Data Engineer (Senior)

Huntsville, AL · On-site

$104K - $141K/yr

Data Engineer (Senior) Location: Redstone Arsenal Position Type: Full-Time Position Overview We are ... Develop and optimize data processing solutions using Apache Spark * Work with relational databases ...

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

... data solutions accordingly • Monitor and maintain data interfaces, loads and pipelines to ... Devops and CI/CD tools and deployments within an Azure environment (Jenkins, Git, Azure etc.) • ...

Data Architect

Huntsville, AL · On-site

$160K - $210K/yr

AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Data Engineer. * Have a Cloudera Certified Professional (CCP) Data Engineer certification * Be an Oracle ...

Senior Data Engineer

Birmingham, AL

$99K - $135K/yr

Solution Design &DataEngineering * Architect and oversee the delivery of scalable data pipelines ... Experience with modernDataOps, DevOps, and automation frameworks: * CI/CD (GitHub Actions, GitLab ...

PURPOSE At ibml, our intelligent capture solutions extract valuable information from complex ... Past programming, data capture software and imaging platform experience * Experience using LLMs ...

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Collaborating with cross-functional teams to define requirements, resolve technical issues, and deliver scalable solutions * Applying DevOps and statistical programming tools to improve data quality ...

... engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data ...

Recommend solutions and improvements to drive BI and data management best practices. Qualifications * 8+ years of experience in software development, business intelligence, or data engineering.

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Data Solutions Developer information

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

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

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

What is a data solutions developer?

A data solutions developer designs, builds, and maintains data systems and applications to help organizations manage and analyze data effectively. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create scalable data solutions.

What does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large amounts of data. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL (Extract, Transform, Load) processes to ensure data is accessible and reliable for analysis and decision-making.

Which is the hardest field in it?

In the role of Data Solutions Developer, the most challenging fields often involve complex data integration, advanced analytics, and ensuring data security. These areas require strong technical skills, knowledge of programming languages like Python or SQL, and familiarity with cloud platforms. Staying updated with evolving technologies and certifications can also be demanding.

What is the highest paying job in data?

The highest paying roles in data typically include Data Science Directors, Chief Data Officers, and senior Data Architects, with salaries often exceeding $150,000 annually. These positions require advanced skills in data management, analytics, and leadership, and often demand extensive experience and relevant certifications.
What are popular job titles related to Data Solutions Developer jobs in Alabama? For Data Solutions Developer jobs in Alabama, the most frequently searched job titles are:

Data Engineer SME- Spark | Kafka | NIFI | ONE ROUND INTERVIEW! with Security Clearance

Kforce Federal Solutions

Huntsville, AL

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

***One Round Interview / faster offers! *** Start 3-4 weeks*** Data Engineer (SME) – TS Cleared
Location: Huntsville, AL (Redstone Arsenal – Onsite M–F, Core Hours)
Clearance: Active Top Secret Required
Employment Type: W2 Consultant (Kforce)
Benefits: Medical, Dental, Vision, 401(k), and more Contact Recruiter Directly:
Brenton Anderson
Email:
LinkedIn: https://www.linkedin.com/in/myitrecruiterbrenton/ Overview
We are seeking a SME-Level Data Engineer to support a mission-critical federal program focused on advanced data platforms, operational intelligence, and national security initiatives.
This is a high-impact, hands-on role centered on architecting and implementing enterprise-scale data solutions in secure environments. Your work will directly support decision advantage and operational readiness.
You will lead the development of distributed data platforms and modern data architectures, leveraging cloud-native technologies while operating in a highly collaborative, mission-driven environment. Key Responsibilities Lead the architecture and implementation of enterprise data platforms using AWS services
Design and develop distributed data solutions using Spark, Kafka, and NiFi
Build and optimize data lakes and lakehouse architectures
Drive performance tuning and optimization of data processing workflows
Support integration of DevSecOps practices into data platform development
Collaborate with cross-functional teams across engineering, analytics, and infrastructure
Ensure data integrity, scalability, and reliability across large datasets
Support secure data handling and compliance requirements within a cleared environment Required Qualifications Active Top Secret clearance
Strong experience architecting and implementing enterprise data platforms
Experience with distributed data technologies including Spark, Kafka, and NiFi
Experience designing and supporting data lakes or lakehouse architectures
Experience working with AWS-based data solutions
Experience integrating or supporting DevSecOps practices
Experience working with large, complex datasets in secure or regulated environments
Ability to operate at a senior/SME level, owning solutions end-to-end Work Environment Fully onsite at Redstone Arsenal (Huntsville, AL)
Monday–Friday within standard core business hours
Secure facility requiring strict adherence to security protocols
Fast-paced, mission-focused environment supporting real-world operational needs
Direct collaboration with highly skilled technical teams Why Join Kforce?
As a W2 consultant with Kforce, you’ll have access to a strong benefits package and ongoing support: Aetna Medical, Dental, and Vision coverage
401(k) retirement plan with options to invest
Competitive weekly pay
Paid time off (where applicable)
Dedicated recruiter and care team support
Opportunities to work on high-visibility, mission-driven programs Impact
This role provides the opportunity to design and deliver enterprise-scale data platforms that directly support national security initiatives and enable mission-critical decision-making in a secure environment. Apply Today
Join a team where your expertise in distributed data engineering, cloud platforms, and modern data architecture directly contributes to mission success. The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.