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Scala Developer Remote Jobs in Indiana (NOW HIRING)

Cummins

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

Programming - Write clean, well-documented, and testable code using best practices. Leverage ... Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework - SQL query ...

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 ... Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework - SQL query ...

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 ... Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework - SQL query ...

Cummins

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Knowledge of the latest technologies and trends in data engineering are highly preferred and ... Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework - SQL query ...

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$38.1K

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$150.8K

How much do scala developer remote jobs pay per year?

As of Jul 8, 2026, the average yearly pay for scala developer remote in Indiana is $123,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $149,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Scala Developer Remote position, and why are they important?

To thrive as a Scala Developer Remote, you need expertise in Scala programming, functional programming concepts, and a solid understanding of distributed systems or microservices architecture, often supported by a degree in computer science or a related field. Familiarity with development tools like sbt, Git, continuous integration systems, and experience with frameworks such as Akka, Play, or Spark is commonly required. Excellent problem-solving skills, self-motivation, effective communication, and the ability to collaborate virtually are key soft skills for remote work success. These skills and qualities are crucial for maintaining productivity, delivering high-quality code, and integrating seamlessly within remote development teams.

What is a Scala Developer Remote job?

A Scala Developer Remote job involves designing, developing, and maintaining applications using the Scala programming language while working from a remote location. Responsibilities typically include writing functional and scalable code, optimizing performance, and collaborating with teams using tools like Akka, Play Framework, and Spark. These roles often require experience in functional programming, distributed systems, and backend development. Remote Scala developers must also be proficient in communication and collaboration tools to work effectively with teams across different locations.

What are some typical challenges faced by remote Scala Developers, and how can they be overcome?

Remote Scala Developers often face challenges related to communication across distributed teams, managing time zones, and staying current with evolving technologies. Building strong rapport with colleagues through regular video calls and active participation in team channels can help bridge communication gaps. Setting clear work routines, using collaborative project management tools, and engaging in continual learning (such as taking online courses or attending virtual meetups) can make remote work more productive and fulfilling. By proactively addressing these challenges, remote Scala Developers can contribute effectively and continue advancing in their careers.

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Data Architect

Data Architect

Cummins

Indianapolis, IN • On-site, Remote

$123K - $150K/yr

Full-time

Posted 15 days ago

Cummins rating

8.1

Company rating: 8.1 out of 10

Based on 253 frontline employees who took The Breakroom Quiz

108th of 529 rated manufacturers

Job description


We are looking for a talented Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote.
In this role, you will make an impact in the following ways:
  • Design and automate scalable data ingestion and transformation pipelines across relational, event-based, and unstructured sources.
  • Build and maintain frameworks to monitor, detect, and resolve data quality and integrity issues. Implement data governance practices, including metadata management, data access, and retention policies.
  • Architect and guide development of reliable, efficient, and scalable ETL/ELT data pipelines with monitoring and alerting.
  • Design physical data models and optimize database structures, indexing, and relationships for performance.
  • Test, optimize, and troubleshoot data pipelines to ensure stability and performance.
  • Develop and manage large-scale data storage solutions using distributed and cloud platforms (e.g., data lakes, Hadoop, NoSQL databases).
  • Drive automation and modernization of data infrastructure and integration processes to support agile analytics initiatives.

Responsibilities
To be successful in this role you will need the following:
  • Data Extraction - Build scalable, automated ETL pipelines that deliver accurate, timely data. Choose the right tools and optimize transformations for performance and usability.
  • Programming - Write clean, well-documented, and testable code using best practices. Leverage version control and automation to ensure reliability and efficiency
  • Solution Validation Testing - Follow SDLC standards to thoroughly test and validate all solutions. Ensure outputs meet business requirements and perform correctly in production.
  • Data Quality - Proactively monitor and resolve data issues. Establish strong governance practices to maintain data accuracy and trust across the organization.

Qualifications
Education/Experience:
  • College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required.
  • This position may require licensing for compliance with export controls or sanctions regulations.
  • Intermediate experience in a relevant discipline area is required. Knowledge of the latest technologies and trends in data engineering are highly preferred and includes:
    - Familiarity analyzing complex business systems, industry requirements, and/or data regulations
    - Background in processing and managing large data sets
    - Design and development for a Big Data platform using open source and third-party tools
    - SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework
    - SQL query language
    - Clustered compute cloud-based implementation experience
    - Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources
    - Experience in building analytical solutions
    Intermediate experiences in the following are preferred:
    - Experience with IoT technology
    - Experience in Agile software development
  • 6-8 years of experience required.

Additional Responsibilities:
Preferred Job Specific Skills - Data Architect
  • Dimensional Modeling Mastery - Deep expertise in designing enterprise-scale dimensional models (star, snowflake, constellation) with strong command of fact table grain definition, surrogate key strategies, slowly changing dimensions (Types 1-6), bridge tables, and late-arriving data handling.
  • Advanced SQL Engineering - Highly proficient in writing complex, high-performance SQL, including window functions, CTE-driven transformations, query plan analysis, cost-based optimization, partitioning strategies, and performance tuning across large, distributed datasets.
  • Snowflake Architecture & Engineering - Hands-on experience with Snowflake internals including micro-partitioning, clustering keys, result-set caching layers, warehouse sizing/auto-suspend tuning, Snowpipe/Streams/Tasks orchestration, Time Travel, Zero-Copy Cloning, and secure data sharing patterns.
  • Graph Database & Cypher Proficiency - Strong experience with Neo4j or equivalent graph platforms, including graph schema design, Cypher query optimization, graph algorithms (PageRank, community detection, pathfinding), and integration of graph workloads with analytical and relational systems.
  • Microsoft Fabric Ecosystem - Practical experience with Fabric Lakehouse architecture, Delta Lake optimization, Data Engineering pipelines, Data Factory orchestration, KQL-based Real-Time Analytics, semantic model creation, and integration with Power BI and OneLake governance.
  • SAP S/4HANA Data Structures -Familiarity of SAP S/4HANA data models (FI/CO, MM, SD, PP), CDS views, OData services, SLT/SDI/ODP-based extraction patterns, and harmonization of SAP transactional data into cloud-based analytical platforms.
  • Cloud Data Architecture - Strong understanding of distributed data processing, ELT/ETL orchestration, event-driven ingestion (Kafka/Event Hub), metadata-driven frameworks, schema evolution, and data lifecycle management across cloud environments (Azure preferred).
  • Data Governance & Metadata Management - Experience implementing enterprise data catalogs, lineage tracking, data quality rules, master data integration, and security models (RBAC/ABAC, row-level and column-level security).
  • Performance Engineering & Optimization - Ability to diagnose bottlenecks across compute, storage, and network layers; optimize workloads for cost and performance; and design scalable, fault-tolerant data architectures.
  • Cross-Platform Integration - Experience integrating heterogeneous systems (SAP, Snowflake, Fabric, graph DBs, APIs, streaming platforms) into unified analytical ecosystems with strong focus on interoperability and data consistency.

Compensation:
Please note that the salary range provided is a good faith estimate on the applicable range. The final salary offer will be determined after considering relevant factors, including a candidate's qualifications and experience, where appropriate.
Premium Range:
Minimum: $123,030
Maximum: $150,370
About Us
Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919

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