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Remote Data Engineer Jobs in Center Point, AL (NOW HIRING)

EBSCO Industries Inc

GIS Data Engineer

Birmingham, AL · Remote

Headquartered in Birmingham, Alabama, Moultrie (www.moultrie.com) is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for

Kemper

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

Location(s) Alpharetta, Georgia, Birmingham, Alabama, Chicago, Illinois, Downers Grove, Illinois, Jacksonville, Florida, Remote-CT, Remote-NJ, Remote-OH, Remote-PA, Remote-RI, Remote-VA Details

Arcoro

Director of Data and BI - Remote

Birmingham, AL · On-site +1

Why Arcoro? Want to work with a solid company that's transforming HR for the construction industry? Our team of dedicated professionals helps construction, contracting and field services companies

Motorola

Senior DevOps Engineer (US REMOTE)

Birmingham, AL · Remote

$140K - $170K/yr

Company Overview At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere.

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Center Point, AL

Remote Data Engineer information

See Center Point, AL salary details

$41K

$119.6K

$163.6K

How much do remote data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote data engineer in Center Point, AL is $119,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $126,800.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What cities near Center Point, AL are hiring for Remote Data Engineer jobs?

Cities near Center Point, AL with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you

Data Engineer (Remote)

Birmingham, AL • Remote

Talon Hiring Solutions
Recruiting and Staffing Services • 1 - 10 employees
Learn more about Talon Hiring Solutionsexternal

$130K - $145K/yr

Full-time

Posted 3 days ago

New

Job description

Talon Hiring Solutions has a client that is looking for a Data Engineer to join the Data and Analytics Team. This team owns the development of insights from extraction that power decision-making. The role will contribute to maintaining and building upon the foundational data layer in Snowflake.  The current engineering tech stack includes; Fivetran, Azure data Factory, APIs, Webscraping, dbt, Snowflake,APO, and Cloud Data Ingestion.  The ideal candidate has expertise in full stack development and experience with stakeholder engagement and project -based development.  This role will work closely with the DnA Lead, internal stakeholders across the business, and technical teams in marketing, operations, and finance that own department specific tools that depend on data for activation.
Our client is a customer-driven company that values innovation, collaboration, curiosity, and delivering results. The team works together to build products and experiences that make a meaningful difference for customers.

*This role is fully remote with some travel to the home office in Birmingham, AL*

What You'll Do

  • Build, maintain, and optimize data pipelines that ingest information from multiple source systems into Snowflake.
  • Develop and maintain scalable data models using dbt, following bronze, silver, gold, and platinum modeling practices.
  • Create reliable data solutions that support reporting, business intelligence, analytics, and downstream applications.
  • Use SQL and Python to transform data, automate processes, build ingestion logic, and support integrations such as APIs and web scraping.
  • Partner with business teams across Marketing, Operations, Finance, and other departments to understand data needs and translate business questions into practical data solutions.
  • Establish and maintain data quality checks, testing, documentation, naming conventions, and data definitions.
  • Monitor pipelines, troubleshoot failures, and document root causes and solutions to continually improve data reliability.
  • Build semantic models that make data easier to understand and use, including supporting natural-language querying.
  • Collaborate with the Data & Analytics Lead and Data Scientist to develop datasets that support predictive analytics and machine learning initiatives.
  • Participate in project planning, requirements gathering, sprint development, code reviews, and other software development practices.
  • Help evaluate and implement data tools and technologies as Moultrie's data and analytics capabilities continue to grow.

What You'll Bring

  • 4+ years of experience in data engineering, analytics engineering, or a similar role building and supporting production data pipelines.
  • Strong SQL skills with experience developing modular, scalable, and optimized logic in dbt.
  • Proficiency in Python for data ingestion, transformation, automation, web scraping, and other engineering applications.
  • Hands-on experience with Snowflake and modern data engineering practices.
  • Experience with data integration and ingestion tools such as Fivetran, Azure Data Factory, APIs, or web scraping.
  • Familiarity with Git, version control, branching, code reviews, and CI/CD practices.
  • Strong understanding of data modeling, data quality, testing, and documentation.
  • Ability to take an ambiguous business need, identify requirements, and develop a practical data solution from concept through delivery.
  • Strong communication and collaboration skills with the ability to work effectively with both technical and non-technical stakeholders.
  • A proactive, problem-solving mindset and the ability to work independently while collaborating closely with a growing Data & Analytics team.
  • Experience in retail, CPG, consumer products, or consumer hardware.
  • Exposure to streaming or event-driven data.
  • Experience with Tableau, Streamlit, or similar analytics and visualization tools.
  • Familiarity with machine learning workflows, predictive modeling, or feature stores.
  • Experience working with modern data architectures such as medallion architecture.