Telecom OPT Jobs in Indiana
Telecom F-1 OPT sponsorship jobs in Indiana are concentrated around Indianapolis, where carriers like AT&T and Lumen Technologies maintain regional operations, and near Purdue University's research corridor in West Lafayette. Indiana's fiber expansion projects and data center growth are driving demand for network engineers, RF technicians, and systems analysts open to OPT candidates.
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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
OPT Telecom Job Roles in Indiana
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Search Telecom Jobs in IndianaTelecom OPT Sponsorship Jobs in Indiana: Frequently Asked Questions
Which telecom companies sponsor F-1 OPT visas in Indiana?
AT&T, Lumen Technologies, and Comcast have Indiana operations that have historically hired OPT candidates for technical roles. Smaller regional carriers and telecom contractors supporting network infrastructure buildouts across the state also participate in OPT sponsorship. Sponsorship availability varies by role and hiring cycle, so verifying directly with each employer during the application process is important.
Which cities in Indiana have the most telecom F-1 OPT sponsorship jobs?
Indianapolis is the primary hub, hosting the majority of Indiana's telecom employer operations, regional offices, and network operations centers. West Lafayette sees hiring connected to Purdue University's engineering and computer science pipeline, particularly for roles in wireless systems and network research. Fort Wayne and Evansville have smaller but active telecom presences tied to regional infrastructure projects.
What types of telecom roles typically qualify for F-1 OPT sponsorship?
Roles that qualify for F-1 OPT sponsorship are positions directly related to your degree field. In telecom, this commonly includes network engineers, RF engineers, systems analysts, software developers working on telecom platforms, and data analysts supporting network operations. The role must be in a field matching your major, so an electrical engineering or computer science graduate would typically qualify for these positions.
How do I find telecom F-1 OPT sponsorship jobs in Indiana?
Migrate Mate lets you filter job listings specifically by visa type and industry, so you can search for telecom F-1 OPT positions in Indiana without sorting through roles that don't support your status. The platform surfaces employers who have actively sponsored OPT candidates in telecom, which is more targeted than general job searching. Filtering by Indiana location on Migrate Mate narrows results to relevant regional employers and open roles.
Are there any Indiana-specific considerations for telecom F-1 OPT candidates?
Indiana's ongoing statewide broadband expansion, funded in part through federal infrastructure programs, has increased hiring at both established carriers and smaller contractors, some of whom are newer to OPT sponsorship. F-1 OPT employment must begin within 90 days of your OPT start date and must be at least 20 hours per week in a qualifying role. STEM OPT extension eligibility depends on your specific degree classification, so confirming your program's CIP code with your DSO before accepting an offer is advisable.