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Data Engineer Jobs in Chelsea, AL (NOW HIRING)

Data, Analytics & AI Engineer

Birmingham, AL

$107K - $128K/yr

Data, Analytics & AI Engineer Help Build the Future of Data, Analytics & AI Are you passionate about data engineering, analytics, and artificial intelligence? Do you love solving complex business ...

Data Developer IV Location: Birmingham, AL or Atlanta, GA Work Model: Hybrid (2 days in office every other week; availability required for on-site meetings as needed) Client: Alabama Power Duration ...

Eng II, Data

Birmingham, AL

$107K - $128K/yr

Summary Spire is seeking to fill a Data Engineer II position. This role is a primary contributor and designer of the overall Spire data warehouse, data ETL processes and analytics data model and ...

Data, Analytics & AI Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Deploy. is seeking a Data, Analytics & AI Engineer to help design, build, and evolve a modern enterprise data platform. The role involves creating intelligent solutions that drive smarter decisions ...

You will own the statistical modeling and feature engineering that exists in the Data * Data Layer & Feature Store: Snowflake * Model Deployment: Snowflake ML Functions, Snowpark * Development:

You will own the statistical modeling and feature engineering that exists in the Data * Data Layer & Feature Store: Snowflake * Model Deployment: Snowflake ML Functions, Snowpark * Development:

This role requires strong expertise in statistics, machine learning, and programming , with the ability to transform raw data into actionable insights. The ideal candidate has hands-on experience ...

Showing results 41-60

Data Engineer information

See Chelsea, AL salary details

$40.4K

$117.6K

$160.9K

How much do data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data engineer in Chelsea, AL is $117,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $124,700.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in Chelsea, AL? The most popular types of Data Engineer jobs in Chelsea, AL are:
What are popular job titles related to Data Engineer jobs in Chelsea, AL? For Data Engineer jobs in Chelsea, AL, the most frequently searched job titles are:
What cities near Chelsea, AL are hiring for Data Engineer jobs? Cities near Chelsea, AL with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Chelsea, AL as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $117,619 per year, or $56.5 per hour.
Managed Services - Senior Data Engineer - Manager

Managed Services - Senior Data Engineer - Manager

Pwc

Birmingham, AL

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

24th of 73 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Manager

Job Description & Summary

The Opportunity
As a Managed Services - Senior Data Engineer - Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data & Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. In this role, you will analyze and identify the linkages and interactions between the component parts of an entire system, taking ownership of projects to validate their successful planning, budgeting, execution, and completion.
Responsibilities
- Leading data engineering projects to drive strategic insights and optimize business performance (ETL/ELT integration)
- Developing and implementing innovative data solutions using advanced analytics techniques (DataStage)
- Managing and mentoring teams to enhance their skills and deliver quality client services (pipeline architecture)
- Utilizing business intelligence tools and cloud-based analytics platforms to improve data-driven decision-making (AWS & Redshift)
- Building and maintaining data pipelines and architectures to support analytics initiatives (DB2, SQL Server)
- Collaborating with stakeholders to identify opportunities for data utilization and process improvement (GoldenGate & CDC)
- Overseeing the deployment of scalable data visualization and reporting solutions (performance tuning)
- Promoting the adoption of new technologies and methodologies within data and analytics teams (S3, Glue)
- Addressing and resolving conflicts or issues with clients and team members, escalating when necessary
- Upholding professional and technical standards, including adherence to the firm's code of conduct and independence requirements
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating proficiency in Business Intelligence and Reporting Tools (BIRT)
- Utilizing Python and Java for data engineering tasks
- Excelling in data visualization with QlikView and Spotfire
- Developing data architecture and pipeline strategies
- Embracing continuous process improvement in data analytics
- Leading teams in data-driven decision-making processes

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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