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Data Engineer Data Jobs in Montgomery, AL (NOW HIRING)

Bespoke Labs

Data Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Montgomery, AL

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Meta

Data Center Capacity Engineer

Montgomery, AL

$111K/yr

Meta is seeking a Data Center Capacity Engineer to help ensure our global data center infrastructure can meet the demands of billions of users across Meta's family of apps and services. In this role ...

vTech Solution

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Data Quality Engineer Duration : 03 months (Possibility of extension) Location : Montgomery, AL - 36130 (Onsite) Interview: Video or In person Based on Location A Data Quality Engineer, strong data ...

Conduent, Inc.

Data Manager (MMIS)

Montgomery, AL

$113K - $147K/yr

Data Manager (MMIS) About the Role Conduent is seeking a Data Manager to oversee the organization ... Bachelor's degree in computer science, software engineering, information systems, or other ...

Conduent, Inc.

Data Manager (MMIS)

Montgomery, AL · On-site

$113K - $147K/yr

Data Manager (MMIS) About the Role Conduent is seeking a Data Manager to oversee the organization ... Bachelor's degree in computer science, software engineering, information systems, or other ...

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All JobsData Engineer Data JobsData Engineer Data Jobs in Montgomery, AL

Data Engineer Data information

See Montgomery, AL salary details

$45.5K

$163.2K

$240.9K

How much do data engineer data jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data engineer data in Montgomery, AL is $163,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,100.00 and $168,200.00 per year, depending on experience, location, and employer.

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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 solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Montgomery, AL? For Data Engineer Data jobs in Montgomery, AL, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Montgomery, AL look for? The top searched job categories for Data Engineer Data jobs in Montgomery, AL are:
What cities near Montgomery, AL are hiring for Data Engineer Data jobs? Cities near Montgomery, AL with the most Data Engineer Data job openings:
Data Engineer Data jobs near you

Data Engineer

Bespoke Labs

Montgomery, AL • On-site

$113K - $136K/yr

Full-time

Re-posted 16 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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