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Associate Data Engineer Jobs in Alabama (NOW HIRING)

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

Associate Systems Engineer Company: Build the system-of-systems that protects the homeland. Boeing ... data handling, validation/verification of models) * Use modeling, simulation, and quantitative ...

Associate Systems Engineer Company: Build the system-of-systems that protects the homeland. Boeing ... data handling, validation/verification of models) * Use modeling, simulation, and quantitative ...

Associate Systems Engineer Company: Build the system-of-systems that protects the homeland. Boeing ... data handling, validation/verification of models) * Use modeling, simulation, and quantitative ...

Associate Product Engineer I About Continental: Continental Aerospace Technologies™ has been a ... Creates clear, concise, inspectable, and manufacturable design data according to company standards ...

Work closely with network engineers and IT staff to support smooth data center operations ... Associate's degree in IT, Computer Science, or related field; or equivalent hands-on experience.

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Associate Data Engineer information

See Alabama salary details

$8

$16

$27

How much do associate data engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for associate data engineer in Alabama is $16.98, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $18.08 per hour, depending on experience, location, and employer.

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

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

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

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What are the most commonly searched types of Data Engineer jobs in Alabama? The most popular types of Data Engineer jobs in Alabama are:
What are popular job titles related to Associate Data Engineer jobs in Alabama? For Associate Data Engineer jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Associate Data Engineer jobs? Cities in Alabama with the most Associate Data Engineer job openings:
Payer Dev, Git & ML-Ops Engineer, Senior Associate

Payer Dev, Git & ML-Ops Engineer, Senior Associate

Pwc

Birmingham, AL

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Health Services

Specialism

Operations

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance.
As an operations consulting generalist at PwC, you will possess a broad understanding of various aspects of operations consulting. You will provide comprehensive guidance and support to clients in optimising operational efficiency and effectiveness. Working in this area, you will analyse client needs, develop operational solutions, and offer recommendations tailored to specific business requirements.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Operations Consulting team, you will design and build a next-generation analytics platform tailored for healthcare payers. As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain exemplary standards while building meaningful client relationships and navigating increasingly complex situations. This role offers the chance to work alongside healthcare experts and data scientists, directly influencing client outcomes and contributing to innovative solutions in a dynamic consulting environment.
Responsibilities
- Design and implement advanced analytics solutions for healthcare payers
- Analyze intricate challenges and develop actionable insights
- Mentor and guide junior team members in their professional growth
- Maintain exceptional standards in deliverables
- Build and nurture substantial relationships with clients
- Navigate complex project environments and adapt to changing needs
- Collaborate with healthcare experts and data scientists to drive innovation
- Contribute to the development of impactful solutions in a consulting setting
What You Must Have
- Bachelor's Degree
- At least 4 years of experience in software engineering or data engineering
What Sets You Apart
- Master's Degree in Computer Science, Data Engineering, Software Engineering preferred
- Experience operating dbt at scale on Databricks
- Prior work with healthcare analytics packages
- Designing CI/CD pipelines for Databricks Asset Bundles
- Provisioning Azure Databricks workspaces and managing isolation patterns
- Building Python CLI tools with argparse and YAML configuration
- Designing AI agent systems for development workflows
- Familiarity with corporate network constraints
- Experience with multi-cloud data flows

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. 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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