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Sr Data Engineer Jobs in Chelsea, AL (NOW HIRING)

Vultus Inc

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Senior Data Scientist Experience: 6-10 Years Job Type: Full-Time Location: Remote / Hybrid / Onsite ... Collaborate with product managers, business analysts, and engineering teams. * Validate model ...

CreateFuture

Principal Data Engineer

Leeds, AL · On-site

$120 - $150/hr

Acting as the most senior technical authority on client engagements -- making critical architecture ... Building the iGaming data engineering playbook: reusable patterns, accelerators, and reference ...

Pwc

Data Engineer - Senior Associate

Birmingham, AL · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Birmingham, AL · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

GPC - Genuine Parts Company

Data Engineer IV

Birmingham, AL · On-site

$107K - $128K/yr

The Data Engineer IV performs complex data operations focusing on transformation and quality ... Ability to collaborate effectively with senior management. LICENSES & CERTIFICATIONS: SUPERVISORY ...

4pconsultinginc

Data Developer IV

Birmingham, AL · On-site

Alabama Power Duration: 1 year Job Summary The Data Developer IV is a senior-level role responsible for leading and managing complex technical and data-driven initiatives from design through ...

Deloitte

Project - Data Engineer II

Birmingham, AL · On-site

$107K - $128K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If ...

EBSCO Industries Inc

GIS Data Engineer

Birmingham, AL · Remote

Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source tools. * Acquire, clean, transform, and load geospatial datasets to support product, engineering, and ...

EBSCO Industries, Inc.

GIS Data Engineer

Birmingham, AL · On-site

Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source tools. * Acquire, clean, transform, and load geospatial datasets to support product, engineering, and ...

Kemper

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

As a senior member of the data engineering team, you will be responsible for developing scalable data validation frameworks, ensuring data integrity across pipelines and platforms, implementing ...

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Showing results 1-20

All JobsSr Data Engineer JobsSr Data Engineer Jobs in Chelsea, AL

Sr Data Engineer information

See Chelsea, AL salary details

$73.4K

$114.5K

$158.7K

How much do sr data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for sr data engineer in Chelsea, AL is $114,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $130,600.00 per year, depending on experience, location, and employer.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What are popular job titles related to Sr Data Engineer jobs in Chelsea, AL? For Sr Data Engineer jobs in Chelsea, AL, the most frequently searched job titles are:
What cities near Chelsea, AL are hiring for Sr Data Engineer jobs? Cities near Chelsea, AL with the most Sr Data Engineer job openings:
Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Chelsea, AL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $114,546 per year, or $55.1 per hour.

Senior Data Scientist

Vultus Inc

Birmingham, AL • On-site, Remote

$130K - $170K/yr

Full-time

Posted 12 days ago

Job description

Senior Data Scientist
Experience: 6–10 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Data Science & AI

Job Summary

We are seeking an experienced Senior Data Scientist to join our growing analytics and AI team. The ideal candidate will leverage advanced statistical analysis, machine learning, and data engineering techniques to solve complex business problems, develop predictive models, and provide actionable insights. You will collaborate with cross-functional teams to build scalable AI solutions that drive business value. A strong JD should clearly outline responsibilities, required skills, and expectations to attract qualified candidates.

Key Responsibilities
  • Design, build, and deploy machine learning and predictive analytics models.
  • Analyze structured and unstructured datasets to identify trends and business opportunities.
  • Develop data pipelines and automate data processing workflows.
  • Collaborate with product managers, business analysts, and engineering teams.
  • Validate model performance and optimize algorithms for production.
  • Present technical findings and recommendations to business stakeholders.
  • Mentor junior data scientists and conduct code reviews.
  • Stay updated with advancements in AI, Machine Learning, and Generative AI.
Primary Skills
  • Python
  • SQL
  • Machine Learning
  • Deep Learning
  • Statistics
  • Data Modeling
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow or PyTorch
  • Data Visualization (Power BI/Tableau)
  • Apache Spark
  • Git
  • Cloud Platforms (AWS, Azure, or GCP)
Secondary Skills
  • NLP (Natural Language Processing)
  • Generative AI
  • Large Language Models (LLMs)
  • RAG (Retrieval-Augmented Generation)
  • MLOps
  • Docker
  • Kubernetes
  • Airflow
  • Snowflake
  • Databricks
  • CI/CD
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 6–10 years of experience in Data Science or Machine Learning.
  • Strong experience building and deploying ML models in production.
  • Expertise in SQL and Python programming.
  • Experience working with cloud platforms and big data technologies.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Generative AI and LLM-based applications.
  • Knowledge of MLOps and model deployment best practices.
  • Experience in Agile/Scrum development environments.
  • Relevant certifications in AWS, Azure, GCP, or Data Science are a plus.
Salary

USD $130,000 – $170,000 per year (Based on experience and location)