Telecom STEM OPT Jobs in Georgia
Telecom F-1 STEM OPT sponsorship jobs in Georgia are concentrated in Atlanta, where AT&T, T-Mobile, and Cisco maintain significant technical operations. Georgia's status as a regional hub for network infrastructure and wireless technology creates steady demand for STEM-qualified engineers, data analysts, and network specialists seeking OPT employment authorization.
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Get Access To All JobsINTRODUCTION
Cox Automotive is seeking a Senior Enterprise Applications Engineer to join our Enterprise Finance Technology team. This role is responsible for designing, building, and optimizing data architecture, pipelines, and enterprise applications that power strategic decision-making across the organization. The Senior Engineer will provide information, insights, and analyses in support of financial consolidation, planning, forecasting, and reporting—combining deep data engineering expertise with strong business intelligence capabilities to ensure data is accessible, trusted, and actionable.
This position interacts with a variety of teams—including Finance, Accounting, FP&A, and cross-functional technology groups—to understand business needs and deliver data-driven solutions. The insights and infrastructure provided by this individual will be used to make informed prioritizations, support standard and ad-hoc reporting, and enable the development of new analytical capabilities. The Senior Engineer is expected to perform these duties with minimal daily oversight while mentoring junior team members, contributing to Agile planning, and staying current on emerging technologies.
What You'll Do:
Primary Responsibilities:
Data Engineering, Quality & Pipeline Development
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Snowflake, AWS, dbt, and/or Informatica, integrating enterprise financial applications with data warehouses, relational databases (PostgreSQL, MySQL, SQL Server), and BI platforms.
- Ensure data integrity by implementing automated quality checks, regression testing, validation frameworks, and anomaly monitoring—working with internal and external data providers to customize data feeds and mappings.
Project Delivery & Solution Design
- Independently plan, manage, and deliver small to medium-sized projects end-to-end (requirements gathering, solution design, development, testing, deployment, documentation, and post-implementation support), while also contributing technical components to larger cross-functional programs.
Analytics, Reporting & Continuous Improvement
- Support dashboard and reporting development using Power BI, Tableau, or similar tools to deliver KPI insights, and lead enhancements that improve financial processes, reduce manual work, and increase accuracy.
- Leverage AI-assisted tools (e.g., Claude, GitHub Copilot, Snowflake Cortex, M365 Copilot) to accelerate development, data validation, and analysis workflows.
Agile Planning & Emerging Technologies
- Partner with finance and analytics teams to understand day-to-day challenges and design viable data solutions; recommend improvements to processes, technology, and interfaces that reduce technical debt.
- Stay current on new data technologies, AI, ML, Data Science, CPM platform innovations, and best practices; share insights and contribute to design standards across the organization.
Who Are You:
Minimum Requirements:
- Bachelor's degree in related discipline and 4+ years of experience in data engineering or architecture. The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 16 years' experience in a related field.
- 4+ years of hands-on experience in data engineering, business intelligence, and/or enterprise analytics across multiple functional areas (reporting, dashboards, data pipelines, and data modeling).
- Advanced SQL proficiency and experience with data integration tools (e.g., MS SQL Developer, dbt, Informatica).
- Must have strong working experience with data modeling, data access, schemas, and data storage techniques within Snowflake.
- Working experience in design, development, and implementation of scalable data pipelines in cloud environments (AWS, Snowflake).
- Working experience with ETL/ELT patterns, data warehousing concepts, and data orchestration tools.
- Working experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL.
- Working experience with business intelligence tools and platforms (Power BI, Tableau, or similar).
- Working experience with data quality tools.
- Working experience with application lifecycle methodologies (e.g. waterfall, agile, iterative).
- Demonstrated project management experience with complex system implementations.
- Experience working with Git.
- Experience working with AI related tools such as GitHub Copilot, Snowflake Cortex, or M365 Copilot.
- Experience implementing new tools into environments.
- Excellent analytical, problem-solving, and communication skills with the ability to present technical concepts to non-technical stakeholders.
- Availability for rotational on-call duties outside of standard business hours may be required.
Preferred Qualifications:
- Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) for data transformation and predictive modeling.
- Familiarity with data orchestration tools such as Apache Airflow, dbt, or Dagster.
- Hands-on experience with cloud-native data platforms (e.g., Snowflake, AWS Redshift, Azure Synapse).
- Knowledge of data governance and metadata management best practices.
- Experience integrating external data sources and APIs into enterprise data ecosystems.
- Strong understanding of CI/CD pipelines and DevOps practices for data engineering.
- Ability to work in Agile environments and contribute to sprint planning and backlog grooming.
- Exposure to real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus.
COMPENSATION:
- Salary Range: $92,300.00 - $153,900.00 per year
Compensation includes a base salary in the range of $92,300.00 - $153,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets
INTRODUCTION
Cox Automotive is seeking a Senior Enterprise Applications Engineer to join our Enterprise Finance Technology team. This role is responsible for designing, building, and optimizing data architecture, pipelines, and enterprise applications that power strategic decision-making across the organization. The Senior Engineer will provide information, insights, and analyses in support of financial consolidation, planning, forecasting, and reporting—combining deep data engineering expertise with strong business intelligence capabilities to ensure data is accessible, trusted, and actionable.
This position interacts with a variety of teams—including Finance, Accounting, FP&A, and cross-functional technology groups—to understand business needs and deliver data-driven solutions. The insights and infrastructure provided by this individual will be used to make informed prioritizations, support standard and ad-hoc reporting, and enable the development of new analytical capabilities. The Senior Engineer is expected to perform these duties with minimal daily oversight while mentoring junior team members, contributing to Agile planning, and staying current on emerging technologies.
What You'll Do:
Primary Responsibilities:
Data Engineering, Quality & Pipeline Development
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Snowflake, AWS, dbt, and/or Informatica, integrating enterprise financial applications with data warehouses, relational databases (PostgreSQL, MySQL, SQL Server), and BI platforms.
- Ensure data integrity by implementing automated quality checks, regression testing, validation frameworks, and anomaly monitoring—working with internal and external data providers to customize data feeds and mappings.
Project Delivery & Solution Design
- Independently plan, manage, and deliver small to medium-sized projects end-to-end (requirements gathering, solution design, development, testing, deployment, documentation, and post-implementation support), while also contributing technical components to larger cross-functional programs.
Analytics, Reporting & Continuous Improvement
- Support dashboard and reporting development using Power BI, Tableau, or similar tools to deliver KPI insights, and lead enhancements that improve financial processes, reduce manual work, and increase accuracy.
- Leverage AI-assisted tools (e.g., Claude, GitHub Copilot, Snowflake Cortex, M365 Copilot) to accelerate development, data validation, and analysis workflows.
Agile Planning & Emerging Technologies
- Partner with finance and analytics teams to understand day-to-day challenges and design viable data solutions; recommend improvements to processes, technology, and interfaces that reduce technical debt.
- Stay current on new data technologies, AI, ML, Data Science, CPM platform innovations, and best practices; share insights and contribute to design standards across the organization.
Who Are You:
Minimum Requirements:
- Bachelor's degree in related discipline and 4+ years of experience in data engineering or architecture. The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 16 years' experience in a related field.
- 4+ years of hands-on experience in data engineering, business intelligence, and/or enterprise analytics across multiple functional areas (reporting, dashboards, data pipelines, and data modeling).
- Advanced SQL proficiency and experience with data integration tools (e.g., MS SQL Developer, dbt, Informatica).
- Must have strong working experience with data modeling, data access, schemas, and data storage techniques within Snowflake.
- Working experience in design, development, and implementation of scalable data pipelines in cloud environments (AWS, Snowflake).
- Working experience with ETL/ELT patterns, data warehousing concepts, and data orchestration tools.
- Working experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL.
- Working experience with business intelligence tools and platforms (Power BI, Tableau, or similar).
- Working experience with data quality tools.
- Working experience with application lifecycle methodologies (e.g. waterfall, agile, iterative).
- Demonstrated project management experience with complex system implementations.
- Experience working with Git.
- Experience working with AI related tools such as GitHub Copilot, Snowflake Cortex, or M365 Copilot.
- Experience implementing new tools into environments.
- Excellent analytical, problem-solving, and communication skills with the ability to present technical concepts to non-technical stakeholders.
- Availability for rotational on-call duties outside of standard business hours may be required.
Preferred Qualifications:
- Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) for data transformation and predictive modeling.
- Familiarity with data orchestration tools such as Apache Airflow, dbt, or Dagster.
- Hands-on experience with cloud-native data platforms (e.g., Snowflake, AWS Redshift, Azure Synapse).
- Knowledge of data governance and metadata management best practices.
- Experience integrating external data sources and APIs into enterprise data ecosystems.
- Strong understanding of CI/CD pipelines and DevOps practices for data engineering.
- Ability to work in Agile environments and contribute to sprint planning and backlog grooming.
- Exposure to real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus.
COMPENSATION:
- Salary Range: $92,300.00 - $153,900.00 per year
Compensation includes a base salary in the range of $92,300.00 - $153,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets
STEM OPT Telecom Job Roles in Georgia
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Search Telecom Jobs in GeorgiaTelecom STEM OPT Sponsorship Jobs in Georgia: Frequently Asked Questions
Which telecom companies sponsor F-1 STEM OPT visas in Georgia?
AT&T has a major presence in Atlanta and has historically filed Labor Condition Applications for STEM-related telecom roles. T-Mobile, Cisco, and Ericsson also operate technical teams in Georgia and have sponsored F-1 STEM OPT candidates for positions in network engineering, software development, and data analytics. Reviewing DOL LCA disclosure data by employer name and state is the most reliable way to verify current sponsorship activity for a specific company.
Which cities in Georgia have the most telecom F-1 STEM OPT sponsorship jobs?
Atlanta accounts for the vast majority of telecom F-1 STEM OPT sponsorship opportunities in Georgia. The metro area's technology corridor, including Midtown and the Buckhead district, hosts corporate offices and technical centers for major carriers and equipment vendors. Smaller concentrations exist in Alpharetta and Norcross, where telecom infrastructure firms and managed service providers maintain engineering teams.
What types of telecom roles typically qualify for F-1 STEM OPT sponsorship?
Roles that map to a STEM-designated Classification of Instructional Programs code qualify for the 24-month STEM OPT extension. In telecom, this commonly includes network engineer, RF engineer, data scientist, software developer, systems analyst, and cybersecurity analyst positions. The role must be directly related to your degree field, and the employer must be enrolled in E-Verify. Confirm your specific degree's CIP code with your DSO before accepting an offer.
How do I find telecom F-1 STEM OPT sponsorship jobs in Georgia?
Migrate Mate lets you filter specifically for telecom employers in Georgia that have filed LCAs for F-1 STEM OPT-eligible roles, so you can target companies with a verified sponsorship history rather than applying broadly. Because LCA filings are public DOL records, Migrate Mate surfaces which Georgia telecom employers are actively hiring for STEM-qualifying positions, saving significant research time during a compressed OPT timeline.
Are there state-specific or industry-specific considerations for F-1 STEM OPT sponsorship in Georgia's telecom sector?
Georgia does not impose state-level visa sponsorship requirements beyond federal rules, but the state's concentration of Fortune 500 companies in Atlanta means many large telecom employers already have established immigration processes and E-Verify enrollment, both required for STEM OPT extensions. Georgia's telecom industry also intersects with government contracting, which can add security clearance requirements that affect sponsorship eligibility for some roles. Confirm E-Verify status with each employer before accepting an offer.