ZipRecruiter

Log In

2

Remote Microsoft Data Engineer Jobs in Indiana (NOW HIRING)

Kobie Marketing

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Transparent Hiring

$106K - $128K/yr

The role We're looking for a Data Engineer (m/f/d) to build and improve internal data solutions ... Remote-first across Germany and the US (offices available). * Relocation to Germany is supported by ...

Cummins

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

Programming - Write clean, well-documented, and testable code using best practices. Leverage ... Microsoft Fabric Ecosystem - Practical experience with Fabric Lakehouse architecture, Delta Lake ...

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Knowledge of the latest technologies and trends in data engineering are highly preferred and ... Microsoft Fabric Ecosystem - Practical experience with Fabric Lakehouse architecture, Delta Lake ...

Cummins Inc.

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Knowledge of the latest technologies and trends in data engineering are highly preferred and ... Microsoft Fabric Ecosystem - Practical experience with Fabric Lakehouse architecture, Delta Lake ...

Cummins

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Knowledge of the latest technologies and trends in data engineering are highly preferred and ... Microsoft Fabric Ecosystem - Practical experience with Fabric Lakehouse architecture, Delta Lake ...

Cox Communications, Inc.

Manager, Data Engineering

Carmel, IN · On-site +1

$111K - $185K/yr

Experience with Microsoft Fabric for data pipelines and transformation, including Fabric-based ETL ... Direct data engineering experience: data modeling, SQL/SQL Server, dbt, data governance practices ...

New

CSAA

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Deckers

Director, Data Platforms & Engineering Location ... United States (Remote) Interested applicants must reside in one of the following approved states:

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

Circle

Staff Software Engineer, Data Platform

Austin, IN · On-site +1

As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Circle

Staff Software Engineer, Data Platform

Miami, IN · On-site +1

As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

next page

Showing results 1-20

All JobsMicrosoft Data Engineer JobsRemote Microsoft Data Engineer JobsRemote Microsoft Data Engineer Jobs in Indiana

Remote Microsoft Data Engineer information

How does a Remote Microsoft Data Engineer typically collaborate with cross-functional teams to deliver data solutions?

As a Remote Microsoft Data Engineer, you will frequently collaborate with data analysts, software engineers, and business stakeholders to design, implement, and optimize data pipelines and storage solutions using Microsoft Azure and related technologies. Communication often occurs through virtual meetings, project management tools, and code repositories, making clear documentation and proactive updates essential. You may participate in sprint planning, code reviews, and troubleshooting sessions to ensure that data solutions align with business goals and technical requirements. Building strong remote working relationships and maintaining transparency are key to successful collaboration in this role.

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

AspectRemote Microsoft Data EngineerRemote Data Analyst
Required CredentialsMicrosoft certifications, SQL, cloud platform knowledgeData analysis certifications, SQL, Excel skills
Work EnvironmentCloud-based, technical teams, data engineering projectsBusiness teams, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare using Microsoft toolsMarketing, retail, finance analyzing data trends

The Remote Microsoft Data Engineer focuses on building and maintaining data pipelines using Microsoft technologies, while the Remote Data Analyst interprets data to provide business insights. Both roles require SQL skills and often work in cloud environments, but their daily tasks and end goals differ significantly.

What is a Remote Microsoft Data Engineer?

A Remote Microsoft Data Engineer is a professional who designs, builds, and manages data solutions using Microsoft technologies, such as Azure Data Factory, SQL Server, and Power BI, while working from a remote location. Their responsibilities include developing data pipelines, implementing data models, and ensuring data quality and security. They collaborate with other IT professionals and business stakeholders to enable effective data-driven decision making within an organization. Working remotely, they use online tools and platforms to communicate and complete their tasks efficiently.

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

To thrive as a Remote Microsoft Data Engineer, you need expertise in data modeling, ETL processes, and strong proficiency with SQL, along with a degree in computer science or a related field. Familiarity with Microsoft data platforms such as Azure Data Factory, SQL Server, Power BI, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving, communication, and collaboration skills are crucial for remote teamwork and effective project execution. These skills ensure the development of robust data solutions, facilitate seamless collaboration, and support informed decision-making in distributed environments.
What are the most commonly searched types of Microsoft Data Engineer jobs in Indiana? The most popular types of Microsoft Data Engineer jobs in Indiana are:
What are popular job titles related to Remote Microsoft Data Engineer jobs in Indiana? For Remote Microsoft Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Microsoft Data Engineer jobs in Indiana look for? The top searched job categories for Remote Microsoft Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Remote Microsoft Data Engineer jobs? Cities in Indiana with the most Remote Microsoft Data Engineer job openings:
Remote Microsoft Data Engineer jobs near you
Sr. Data Engineer

Sr. Data Engineer

Kobie Marketing

Indianapolis, IN • Remote

$101K - $137K/yr

Full-time

Posted 29 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We're always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world's most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 

         Flexible Time Off to recharge when needed 
         Nine Company-Wide Holidays 
         A diverse suite of benefits prioritizing your growth, development, and personal well-being 

Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 


About the team and what we'll build together

At Kobie, we turn our client's loyalty data into actionable intelligence that drives enterprise value. Our Data Engineering team builds and maintains the operational data foundation that powers real-time dashboards, client-facing reporting, and emerging AI-driven products, serving a growing portfolio of enterprise loyalty program clients across some of the most recognized brands in the world.

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our data engineering function. You will bring deep Snowflake expertise and strong engineering instincts to own production data pipelines, lead client implementations, and help us evolve our data architecture to support event-driven and AI-powered workflows, all within a multi-hundred terabyte Snowflake environment where the data problems are as complex as the brands behind them.

How you will make an impact

  • Serve as the operational backbone of Kobie's data platform, ensuring the ETL/ELT pipelines, dimensional models, and Snowflake environments that power client reporting and dashboards run reliably, at scale, every day.
  • Translate client loyalty program requirements into production-ready data warehouse structures - from source system analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables and extracts that downstream reporting and client services teams depend on.
  • Diagnosing and resolve data pipeline failures quickly enough that clients and internal stakeholders rarely notice they happened by bringing the debugging fluency and Snowflake depth to contain impact and prevent recurrence.
  • Build a data architecture that can absorb change by redesigning Kobie's data mart to support an incoming event-driven, domain-driven application layer without breaking the operational foundation already in production.
  • Deliver the data infrastructure that makes AI-powered loyalty products possible. Not by building the models, but by building the reliable, well-governed platform that Kobie's innovation team needs to produce them.
  • Leave every pipeline more trustworthy than you found it, through automated testing, audit logging, CI/CD discipline, and documentation that makes the platform easier for the next engineer to own.

What you need to be successful

Required

  • 6+ years of Data Engineering experience designing and operating production grade data pipelines.
  • 3+ years of hands-on Snowflake experience as a primary data warehousing solution, with deep fluency across data sharing, data clean rooms, marketplace, and Snowpark.
  • Strong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development, and automation scripting.
  • Demonstrated CI/CD experience using GitHub and GitHub Actions
  • Experience with data replication tools (Kafka, GoldenGate, HVR, Qlik Replicate or similar)
  • Deep understanding of Kimball dimensional modeling: star schemas, slowly changing dimensions, snapshot and transaction fact tables.
  • Experience integrating a wide range of data sources, including APIs, messaging systems, and streaming platforms.
  • Solid grounding in OLTP, Data Vault, and data warehouse architecture patterns, with the ability to assess source systems and translate business requirements into dimensional models.
  • Experience designing event-driven architectures and understanding how they shape data pipeline design.
  • Familiarity with domain-driven design concepts and how application architecture changes flow downstream into the warehouse.
  • Cloud experience with Azure and/or AWS.
  • Comfort working independently across concurrent projects in an Agile environment, with strong communication to non-technical data stakeholders.

Strongly Preferred

  • Prior experience in a terabyte-scale, multi-client data warehouse environment, you've worked at this kind of scale before and know what it demands.
  • Experience with data replication tool Qlik Replicate, preferred
  • Familiarity with Apache NiFi or comparable data flow orchestration tools, preferred
  • Exposure to AI workflow integration within a data warehousing context, or experience building pipelines that serve downstream machine learning use cases.
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you're ready to make an impact and grow in a supportive, innovative environment, we'd love to hear from you. Apply today and join the best and brightest in loyalty! 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply