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Data Engineer Battery Jobs in Georgia (NOW HIRING)

SPECTRAFORCE TECHNOLOGIES Inc.

Data Engineer

Smyrna, GA · Hybrid

$112K - $134.50K/yr

Windy Hill Road Area (near I-75 / The Battery) - Hybrid (3 days onsite, subject to change) Summary Data Engineer II is a fully proficient, independent contributor responsible for designing ...

S.P. Richards

Data Engineer II

Smyrna, GA · On-site

$112K - $134.50K/yr

Data Engineer II Data Engineer II is a fully proficient, independent contributor responsible for ... Smyrna, GA (Near Battery Center) Essential Duties and Responsibilities * Design, develop, and ...

S.P. Richards Company

Data Engineer II

Atlanta, GA · On-site

$108.80K - $130.70K/yr

Summary Data Engineer II is a fully proficient, independent contributor responsible for designing ... Smyrna, GA (Near Battery Center) Essential Duties and Responsibilities * Design, develop, and ...

S.P. Richards

Data Engineer II

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Summary Data Engineer II is a fully proficient, independent contributor responsible for designing ... Smyrna, GA (Near Battery Center) Essential Duties and Responsibilities * Design, develop, and ...

HL-GA Battery Company LLC

Quality Engineer

Ellabell, GA · On-site

$66K - $85.30K/yr

Summary: The Quality Engineer is responsible for ensuring a product or component meets the ... Ability to analyze data and prepare reports, statements and projections HL-GA Battery Company is an ...

MOBIS

Battery Supplier Management Specialist

GA · On-site

The specialist monitors supplier performance, analyzes quality and capacity data, maintains project ... Conduct value engineering initiatives to identify cost-saving opportunities. * Review and approve ...

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Data Engineer Battery information

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

To thrive as a Data Engineer Battery, you need strong expertise in data modeling, ETL processes, and a background in computer science, engineering, or a related field. Familiarity with tools like SQL, Python, Spark, and cloud platforms such as AWS or Azure, along with experience in battery technology data systems, is typically required. Excellent problem-solving, communication, and teamwork skills help you collaborate with multidisciplinary teams and translate complex requirements into effective data solutions. These combined skills ensure that large-scale battery data is efficiently managed, enabling accurate analysis and supporting advancements in battery technology.

How does a Data Engineer specializing in battery technology typically collaborate with cross-functional teams?

As a Data Engineer in the battery industry, you will frequently work alongside data scientists, battery engineers, and product development teams to build and maintain data pipelines that collect, process, and analyze battery performance data. Collaboration is essential for aligning data infrastructure with the needs of R&D and operations, enabling accurate modeling and predictive analytics. You may also partner with IT and software development teams to ensure data quality, scalability, and security, ultimately supporting innovation and improved battery technologies.

What does a Data Engineer Battery do?

A Data Engineer Battery specializes in designing, building, and maintaining data systems that support the collection, storage, and analysis of battery-related data. They work with large datasets from battery testing, manufacturing, and performance monitoring to ensure data quality and accessibility. Their role often involves developing data pipelines, integrating various data sources, and collaborating with data scientists and engineers to optimize battery technology and improve product performance. Data Engineer Battery professionals play a key role in advancing battery research and development by enabling data-driven insights.

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

AspectData Engineer BatteryData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; certifications like AWS, GCP, or AzureBachelor's in CS, Data Science, or related field; certifications like AWS, GCP, or Azure
Work EnvironmentTech companies, battery manufacturing, automotive, energy sectorsTech companies, finance, healthcare, retail, and other industries
Employer & Industry UsageSpecialized in battery tech and energy storage industriesBroad industry application across various sectors

Data Engineer Battery focuses on data systems specific to battery technology and energy storage, while Data Engineer has a broader scope across multiple industries. Both roles require similar credentials and work environments but differ in industry specialization.

What are popular job titles related to Data Engineer Battery jobs in Georgia? For Data Engineer Battery jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Engineer Battery jobs in Georgia look for? The top searched job categories for Data Engineer Battery jobs in Georgia are:
What cities in Georgia are hiring for Data Engineer Battery jobs? Cities in Georgia with the most Data Engineer Battery job openings:
Data Engineer Battery jobs near you

Data Engineer

SPECTRAFORCE TECHNOLOGIES Inc.

Smyrna, GA • Hybrid

$112K - $134.50K/yr

Other

Posted 22 days ago

Job description

Job Title: Data Engineer II
Reports To: Financial & Reporting Applications Manager
Location: Windy Hill Road Area (near I-75 / The Battery) – Hybrid (3 days onsite, subject to change)
Summary
Data Engineer II is a fully proficient, independent contributor responsible for designing, developing, and maintaining scalable and reliable data solutions within a modern enterprise data environment. This role supports both delivery and production support functions, including data engineering, design, and light data analysis. The position requires strong attention to detail, analytical thinking, and the ability to operate in a fast-paced, changing environment while maintaining accuracy and consistency.
Essential Duties and Responsibilities

  • Design, develop, and maintain moderately complex data pipelines, datasets, and integrations
  • Support both new development and production data issues in enterprise environments
  • Translate business requirements into scalable, supportable technical solutions
  • Optimize SQL queries, data models, and ETL processes for performance and reliability
  • Perform data validation to ensure accuracy across reporting and analytics outputs
  • Troubleshoot and resolve data and reporting issues end-to-end with minimal supervision
  • Support enterprise BI solutions, including dashboards, datasets, and semantic models
  • Contribute to data architecture standards, coding best practices, and documentation
  • Collaborate with cross-functional teams on reporting and analytics needs
  • Participate in peer code reviews and provide constructive feedback
  • Manage multiple priorities in a fast-paced environment with shifting demands
  • Other duties as assigned

Technical Environment
Candidates should have experience in or exposure to a modern enterprise data stack, including:

  • SQL Server
  • Oracle
  • Python
  • Microsoft Fabric
  • Power BI
  • SAP BI / Crystal Reports
  • Enterprise Data Warehouse / BI ecosystems

Hard Requirements

  • 3–6 years of data engineering or related experience
  • Strong proficiency in SQL and relational databases
  • Experience building or supporting ETL/data integration pipelines
  • Understanding of dimensional modeling and BI/reporting dependencies
  • Hands-on experience with enterprise analytics environments (data pipelines, data warehouses, semantic models)
  • Experience supporting production reporting systems
  • Familiarity with DevOps concepts and version control
  • Strong analytical ability with some data analysis responsibilities
  • Excellent communication skills (written and verbal — must be client-ready)
  • Ability to multitask and adapt to changing priorities
  • Strong attention to detail and consistent execution

Bonus / Preferred Qualifications

  • Experience with the Microsoft Fabric ecosystem
  • Exposure to Power BI dataset modeling and refresh behavior
  • Experience in SAP BI or Crystal Reports environments
  • Experience in enterprise-scale BI or data warehouse environments
  • Exposure to agile / DevOps delivery environments

Education
Bachelor’s degree in Computer Science, Management Information Systems, or equivalent experience
Interview Process

  1. Resume review (feedback within ~2 business days)
  2. 30-minute Teams interview
  3. On-site interview with 4 team members
  4. Candidates must complete the online application prior to interview scheduling

Work Environment & Notes

  • Hybrid role (currently 3 days onsite; subject to change, especially during training)
  • Must be able to work in a fast-paced, delivery-focused environment
  • Communication is a critical success factor for this role
  • Strong emphasis on accuracy, consistency, and ability to pivot between workstreams
  • The hiring manager is engaging multiple staffing partners and seeking the top 3 candidates initially

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