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Analytics Engineer Remote Dbt Jobs in Indiana (NOW HIRING)

SOSi

Sr. Software Engineer

Indianapolis, IN · On-site +1

$117K - $154K/yr

Analyze and resolve production issues, including batch processing failures. * Support software ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

SOSi

Sr. Software Engineer

Indianapolis, IN · On-site +1

$117K - $154K/yr

Analyze and resolve production issues, including batch processing failures. * Support software ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

Harris

Analyze and resolve complex spatial data and software issues to support the stability and ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Harris

Analyze and resolve complex spatial data and software issues to support the stability and ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Kaleris

Software Engineer

Vera Cruz, IN · Remote

Strong debugging and analytical skills - comfortable isolating issues across frontend, backend, and ... Ability to work independently and with distributed, international remote teams * Bachelor's degree ...

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Analytics Engineer Remote Dbt information

How does an analytics engineer working remotely with dbt typically collaborate with data analysts and other stakeholders?

Remote Analytics Engineers utilizing dbt often collaborate closely with data analysts, data scientists, and business stakeholders through virtual meetings, shared documentation, and version-controlled code repositories. They translate business requirements into data models, ensure data quality, and maintain data transformation pipelines. Regular syncs and agile ceremonies, like sprint planning and retrospectives, help keep communication clear and priorities aligned, while tools like Slack, Jira, and GitHub streamline collaboration across distributed teams.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis by building robust and scalable data models, often using tools like dbt (data build tool). In a remote setting, they are responsible for transforming raw data into well-structured datasets that analysts and business users can trust, collaborating with teams via digital communication tools. Their work includes writing SQL code, maintaining data pipelines, documenting data models, and ensuring data quality and consistency. Using dbt, Analytics Engineers automate and manage data transformations, making it easier for organizations to analyze their data efficiently.

What are the key skills and qualifications needed to thrive as a remote analytics engineer specializing in dbt?

To excel as a Remote Analytics Engineer focusing on dbt, you need strong SQL skills, data modeling expertise, and a background in analytics or computer science. Proficiency in dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and experience with version control systems such as Git are typically required. Outstanding problem-solving, communication, and collaboration skills make candidates stand out in remote and cross-functional environments. These competencies ensure efficient data pipeline development, reliable analytics solutions, and effective teamwork, which are crucial for delivering high-quality insights remotely.

What is the difference between Analytics Engineer Remote Dbt vs Data Engineer?

AspectAnalytics Engineer Remote DbtData Engineer
CredentialsSQL, Python, cloud platforms, Dbt certificationsSQL, Python, cloud platforms, data architecture certifications
Work EnvironmentRemote, collaborative with data teams, focus on analytics and data modelingOn-site or remote, infrastructure and pipeline development, focus on data systems
Industry UsageTech, finance, e-commerce, marketingTech, finance, healthcare, telecom

Analytics Engineer Remote Dbt professionals focus on building and maintaining data models using tools like Dbt, primarily supporting analytics and business insights. Data Engineers develop and manage data pipelines and infrastructure, often working on larger data systems. While both roles require SQL and cloud experience, Analytics Engineers emphasize data modeling and analytics, whereas Data Engineers focus on data architecture and pipeline development.

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Cities in Indiana with the most Analytics Engineer Remote Dbt job openings:

Analytics Engineer Remote Dbt jobs near you

Sr. Software Engineer

SOSi

Indianapolis, IN • On-site, Remote

$117K - $154K/yr

Full-time

Posted 13 days ago

Job description

Company Description

Founded in 1989 and headquartered in Reston, Virginia, SOSi is a private defense and government solutions business specializing in advanced technology systems and mission support. Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics.

Job Description

SOSi is seeking an experienced Senior Software Engineer to support a mission-critical federal payroll and financial management program. This role will support software development, application sustainment, and production operations within a complex enterprise environment.

Job Description

The Senior Software Engineer will support the full software development lifecycle, including software design, development, testing, implementation, maintenance, and production support. The successful candidate will possess strong legacy application experience supporting enterprise business systems.

Responsibilities

  • Design, develop, test, and maintain enterprise software applications.
  • Develop and maintain COBOL applications within an IBM z/OS environment.
  • Analyze and resolve production issues, including batch processing failures.
  • Support software releases, production deployments, and configuration management.
  • Participate in requirements analysis, code reviews, testing, and documentation.
  • Collaborate with systems engineers, database administrators, testers, and customer stakeholders.
Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Equivalent experience may be substituted.
  • 10+ years of software engineering experience.
  • Experience supporting mission-critical production environments.
  • Experience supporting enterprise business applications.
  • COBOL, IBM z/OS, JCL, SDLC, Production Support, Software Testing, Configuration Management
  • Ability to obtain Public Trust Clearance.

Preferred:

  • Oracle
  • Cognos
  • Endevor
  • Payroll, financial management, or ERP systems

Additional Information

Work Environment

  • Normal office conditions with potential to perform duties in deployed locations
  • Remote or Hybrid work model 
  • Core hours of operation are Monday through Friday, 0600 – 1700.
  • May be requested to work evenings and weekends to meet program and contract needs

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.