Data Engineer Jobs (No ghost jobs, direct from employers)

  • 1,155 companies
  • $161K median pay
  • 2% remote

Open data engineer jobs from company career pages and job boards, checked every hour. Every posting shows pay where listed, how long it has been up, company reviews and whether it looks like a ghost job.

5,582 jobs found

  • 1 day agoLow ghost risk
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ETL Developer - Data Engineer

Charles Schwab Corporation

1 day agoOn-siteSouthlake, TX$120K - 160KSenior

Why this job matches

See how well your resume fits this job and what it is missing.

Your Opportunity

At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together.

Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services, as part of our ongoing commitment to democratize access to investing and financial planning.

Join a high-impact Data Engineering organization where you will partner with our Business stakeholders and Data Engineering team to design and develop data solutions for data science, analytics and reporting. We are a team of passionate data engineers and SMEs who bring a lot of energy, focus and fresh ideas that support our mission to provide value by seeing the world "Through Clients' Eyes". ETL Developers work with large teams, including onshore and offshore developers, using best-in-class technologies including BigQuery, Teradata, Informatica, and Hadoop. You will design, development and implement enterprise data integration solutions with opportunities to grow in responsibility, work on exciting and challenging projects, train on new technologies and lead other Developers to set the future of the Data Warehouse.

Key Responsibilities

  • Design, develop, and implement scalable enterprise data ingestion and integration workflows across batch, near real-time, and real-time patterns
  • Partner with business analysts, product owners, data modelers, technical directors, and cross-functional teams to translate business requirements into efficient ETL solutions
  • Create, maintain, and update ETL specifications, technical documentation, data mappings, and implementation artifacts
  • Develop, tune, debug, and optimize complex SQL and ETL processes across data warehouse and cloud platforms
  • Build data solutions using technologies such as Informatica PowerCenter, IICS, Teradata, BigQuery, Hadoop, and related enterprise data platforms
  • Apply data integration best practices to support data quality, automation, performance, resiliency, and operational excellence
  • Lead medium-sized ETL delivery efforts, coordinate work across onshore, offshore, and vendor teams, and ensure successful delivery with minimal defects
  • Define and execute unit testing, data validation, quality checks, and implementation readiness activities for ETL deliverables
  • Support production implementations, issue triage, root cause analysis, and continuous improvement of data integration processes
  • Advocate for agile practices and process improvements that increase delivery efficiency and team effectiveness

What you have

Required Qualifications

  • 5-10 years of overall technology experience, including significant hands-on experience as an ETL Developer or ETL Lead supporting data warehouse and enterprise data integration projects
  • Demonstrated ability to lead ETL delivery efforts and deliver projects with minimal defects
  • 5-7 years of hands-on experience with data integration tools such as Informatica PowerCenter and/or Informatica Intelligent Cloud Services (IICS)
  • 5-7 years of experience working with data warehouse platforms such as Teradata and Big Data/Hadoop environments
  • Experience with Google Cloud Platform, including BigQuery
  • Strong SQL experience with the ability to develop, tune, troubleshoot, and debug complex SQL applications
  • Hands-on experience designing and developing data ingestion workflows across batch, near real-time, and real-time patterns
  • Strong understanding of data modeling concepts, including logical and/or physical data models
  • Expertise in schema design and proven ability to work with complex data structures and enterprise-scale datasets
  • Experience with scheduling tools such as Control-M or ESP
  • Strong understanding of DevOps and CI/CD concepts with hands-on experience using tools such as Bamboo, Bitbucket, GitHub, and GitHub Actions
  • Experience working in Unix environments, including basic shell scripting
  • Experience working in Agile delivery frameworks using tools such as Jira or Rally
  • Advanced understanding of the software development lifecycle (SDLC), development standards, and production implementation practices
  • Demonstrated ability to collaborate across business, technology, vendor, offshore, and cross-functional teams to achieve shared objectives
  • Strong analytical, problem-solving, influencing, prioritization, decision-making, negotiation, and troubleshooting skills
  • Ability to work independently in a fast-paced environment with competing priorities, multiple projects, and strict deadlines

Company Reviews

Employee reviews

3.7

8,497 Reviews
  • 533 %
  • 431 %
  • 320 %
  • 29 %
  • 17 %
  • Good company
    2026-03-08T18:41:40.710

    Pros: Incredible work-life balance with decent pay

    Cons: Very conservative company culuture in general

  • Review
    2026-03-08T18:01:33.727

    Pros: Good pay , Collaborative Environment

    Cons: Older Tech Stack Stressful Environment

  • Reasonable people
    2026-03-06T12:28:42.913

    Pros: -Offers decent entry point to the industry for folks with limited experience and skills -Good, reasonable coworkers. Not much drama. Lots of parents/40+ demo -Good growth potential for the company, decent growth potential for employees who are very dedicated

    Cons: -Employees must learn old, proprietary tech/systems (not transferable) -4 days in office -Company is very cheap, will cut any employee benefits/perks to save money. -Expectations for employees in client facing/phone are unattainable and demoralizing.

Frequently asked questions about data engineer jobs

What is a ghost job?

A ghost job is a posting for a role the company isn't actively hiring for. Some stay up after the company fills the role. Others collect resumes for an opening that may never come.

You spend an evening tailoring an application, and nobody on the other side is looking for you.

What do data engineer jobs pay?

Across the postings here that list pay, the median is about $161,000 a year. About 6 in 10 of these postings list a pay range; the rest show an estimate, marked as one.

How many data engineer jobs are there?

At our last count there were about 5,600 open postings from about 1,200 employers. The list on this page is live, so the count above it is the current one.

How does Enhancv spot a ghost job?

Every posting goes through five checks: how long it has been up, whether a salary is posted, what employees say about the company, how specific the description is and whether it lists real requirements. Each job shows the checks it passed and the ones it didn't.

How fresh are the job postings?

Enhancv checks postings every hour, and every job shows how long ago it went up. Most hires happen within 30 days of posting. A listing that's been open for two months raises its ghost job risk.