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Elt Publishing Jobs (NOW HIRING)

Data Engineer

Warren, MI · On-site

$107K - $129K/yr

... publish trusted data products for analytics, reporting, and AI use cases. * Develop and support end-to-end ETL/ELT workflows using Databricks notebooks, Python, Spark, and SQL, including ...

Database Architect - Expert

Schenectady, NY · On-site

$61.75 - $79.25/hr

... ELT and ETL process and architecture improvements. • Assist and verify design of solution and ... Publish and/or present design reports. • Identifying areas for improvement in current systems ...

Data Engineer

Warren, MI · On-site

$107K - $129K/yr

... publish trusted data products for analytics, reporting, and AI use cases. * Develop and support end-to-end ETL/ELT workflows using Databricks notebooks, Python, Spark, and SQL, including ...

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

... publish trusted data products for analytics, reporting, and AI use cases. * Develop and support end-to-end ETL/ELT workflows using Databricks notebooks, Python, Spark, and SQL, including ...

Database Architect - Expert

Albany, NY · On-site

$63.25 - $81.50/hr

... ELT and ETL process and architecture improvements. • Assist and verify design of solution and ... Publish and/or present design reports. • Identifying areas for improvement in current systems ...

Database Architect - Expert

Albany, NY · On-site

$63.25 - $81.50/hr

... ELT and ETL process and architecture improvements. • Assist and verify design of solution and ... databases • Publish and/or present design reports • Identifying areas for improvement in ...

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

... publishing patterns. * Cross-functional partnership: Work with Product, Engineering, MDM, Data ... Modern ELT execution: Use dbt or similar ELT tooling to develop reliable, maintainable, testable ...

Sr Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

... publishing patterns. * Cross-functional partnership: Work with Product, Engineering, MDM, Data ... Modern ELT execution: Use dbt or similar ELT tooling to develop reliable, maintainable, testable ...

Lead Data Engineer

San Francisco, CA · On-site

$134K - $161K/yr

Develop robust ETL/ELT pipelines to ingest, transform, and publish data from enterprise systems. * Collaborate with Product Managers, Business Analysts, Solution Architects, Data Architects, and ...

Sr Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

... publishing patterns. * Cross-functional partnership: Work with Product, Engineering, MDM, Data ... Modern ELT execution: Use dbt or similar ELT tooling to develop reliable, maintainable, testable ...

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Elt Publishing information

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How much do elt publishing jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for elt publishing in the United States is $41.51, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $57.69 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in ELT publishing, and how can they be addressed?

Professionals in ELT (English Language Teaching) publishing often face challenges such as keeping up with evolving educational technologies, adapting materials to diverse cultural contexts, and meeting the specific needs of teachers and learners worldwide. Collaborating closely with educators, authors, and digital product teams can help ensure materials are both pedagogically sound and technologically up-to-date. Staying informed about current trends in English language teaching and regularly seeking feedback from end users are valuable strategies for overcoming these challenges and producing effective educational resources.

What are the key skills and qualifications needed to thrive as an ELT publishing professional?

To thrive in ELT Publishing, a strong background in English language teaching, educational content development, and familiarity with curriculum standards is essential, often supported by a degree in English, education, or linguistics. Proficiency with editorial tools, digital publishing platforms, and learning management systems is typically required. Excellent communication, creativity, project management, and collaboration skills help professionals stand out in this field. These skills are vital for producing high-quality, engaging educational materials that effectively support language learners and educators worldwide.

What is the difference between Elt Publishing vs Elt Editor?

AspectElt PublishingElt Editor
CredentialsTypically requires a degree in linguistics, education, or related fieldRequires similar credentials, often with additional editing certifications
Work EnvironmentOffice or remote, involved in content creation and publishingOffice or remote, focused on editing and reviewing educational materials
Industry UsageUsed by publishing companies, educational institutions, and online platformsCommonly employed within publishing houses and educational content providers
Job FocusContent development, curriculum design, publishing processesEditing, proofreading, quality assurance of educational content

While both roles are integral to educational publishing, Elt Publishing involves content creation and publishing management, whereas Elt Editor focuses on editing and refining educational materials. Understanding these differences helps clarify career paths and job expectations in the industry.

What is ELT publishing?

ELT publishing refers to the development and production of materials specifically designed for English Language Teaching (ELT). These materials can include textbooks, workbooks, digital resources, and supplementary materials used by teachers and learners of English as a second or foreign language. ELT publishers work closely with educators and language experts to create content that is pedagogically sound, engaging, and aligned with language learning standards. The industry is constantly evolving to include digital tools, interactive content, and online platforms to support modern teaching methods.
More about Elt Publishing jobs
What states have the most Elt Publishing jobs? States with the most job openings for Elt Publishing jobs include:
What job categories do people searching Elt Publishing jobs look for? The top searched job categories for Elt Publishing jobs are:
Infographic showing various Elt Publishing job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 6% Part Time, and 18% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $86,338 per year, or $41.5 per hour.

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


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Job description

Job Description
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center, Mountain View Technical Center, or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].
The Role
This role will focus on designing, developing, and supporting Databricks-based pipelines, medallion-layer data products, and enterprise integrations that enable analytics, reporting, and AI use cases. The role also includes building and supporting data movement patterns both into Databricks and between enterprise applications, including solutions that leverage DataStage and related integration technologies.
You will partner closely with product owners, architects, data engineers, report and analytics teams, and source-system teams to define trusted data products, improve data quality and reliability, and deliver scalable solutions that support operational and executive decision-making.
What You'll Do
  • Design, build, and maintain scalable data pipelines in Databricks to ingest, transform, validate, and publish trusted data products for analytics, reporting, and AI use cases.
  • Develop and support end-to-end ETL/ELT workflows using Databricks notebooks, Python, Spark, and SQL, including orchestration, parameterization, error handling, restartability, and performance optimization.
  • Build and maintain Bronze, Silver, and Gold data products that are reusable, governed, and aligned to business and downstream consumption needs.
  • Build and support integrations both into Databricks and between enterprise applications, including legacy and modern integration patterns such as DataStage-based workflows.
  • Implement pipeline logic for ingestion, standardization, cleansing, enrichment, joins, aggregations, and publishing of curated data assets for downstream use.
  • Partner with product owners, architects, source-system teams, report and analytics teams, and data consumers to translate business needs into well-defined technical solutions and trusted data products.
  • Define and implement data transformations, semantic structures, and curated data assets that improve usability, consistency, downstream performance, and trust in the data.
  • Apply strong data quality, validation, reconciliation, and documentation practices to ensure data products are accurate, discoverable, reliable, and production-ready.
  • Use GitHub-based development practices for version control, code review, collaboration, and promotion of pipeline changes across environments.
  • Support secure and compliant data delivery by implementing access controls, permissions, and governance requirements in alignment with GM policies.
  • Monitor, troubleshoot, and improve pipeline health, runtime performance, cost efficiency, and operational stability across production data assets and integrations.
  • Help modernize legacy integrations and reporting patterns by standardizing and migrating solutions onto the enterprise data platform.
  • Contribute to team standards, reusable patterns, and best practices for notebooks, Python development, GitHub workflows, data engineering, integration design, data quality, and operational support.

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Science, Engineering, or a related field; or equivalent experience.
  • 5+ years of experience as a data engineer, ETL developer, or integration engineer building production-grade data pipelines and data products.
  • Hands-on experience with Databricks for data engineering and analytics enablement, including:
    • Strong SQL skills in Databricks
    • Experience building and supporting ETL/ELT pipelines in Databricks
    • Experience developing pipelines using Python, notebooks, DataStage, and scalable data transformation patterns
    • Experience with workflow orchestration, dependency management, scheduling, monitoring, and operational support of production pipelines.
  • Proven experience designing and implementing dimensional, layered, or medallion-style data models for analytics and operational use cases.
  • Strong knowledge of data warehousing and ETL/ELT concepts, including how upstream design impacts downstream performance, usability, and trust in data products.
  • Experience integrating data from enterprise applications, especially operational platforms such as ServiceNow.
  • Familiarity with DataStage and application-to-application integration patterns.
  • Experience using GitHub for source control, branching, pull requests, collaboration, and release management of data engineering assets.
  • Demonstrated ability to implement data quality, metadata, documentation, and governance practices in production data environments.
  • Strong collaboration skills and a track record of working effectively in cross-functional teams (data engineers, architects, product owners, business partners, and report and analytics teams).
  • Strong problem-solving, communication, and ownership skills, with the ability to operate effectively in a fast-moving environment.

What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Experience supporting analytics, dashboards, or executive reporting use cases.
  • Experience working with ServiceNow data, including ITSM, CMDB, HRSD, or related operational domains.
  • Experience with secure data delivery, access controls, and enterprise governance standards.
  • Experience with production support, observability, and operational reporting for data platforms.
  • Familiarity with data dictionaries, lineage, and data product documentation or publishing practices.
  • Familiarity with cloud data platform patterns, particularly Databricks Lakehouse environments.
  • Experience working in Agile or product-centric environments with iterative delivery and continuous feedback.

This job may be eligible for relocation benefits.
Compensation:
  • The expected base compensation for this role is: $138,700 - $206,950. Actual base compensation within the identified range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908