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Data Engineer With Jobs (NOW HIRING)

Redolent, Inc

Back-End Data Engineer

San Bruno, CA · On-site

$136K - $164K/yr

Looking for a backend data engineer with Apache Sprak, Hive and Airflow knowledge. Must-haves Excellent knowledge with SQL and Hive (HiveQL) Ability to build data pipelines using PySpark, Hive, and ...

GRVTY

Data Engineer with Security Clearance

Chantilly, VA · On-site

$118K - $142K/yr

Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your ...

Sarian, Inc.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer with experience in industry leading Data engineering tools, Python ,SNOW SQL, Azure experience. * 7-10 years of Data Engineer experience. * Excellent communication and analytical skills.

Bridge Core (BCore)

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Overview Data Engineer City, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable ...

Interon IT Solutions

Senior Data Engineer with MDM

Iselin, NJ · On-site

$107K - $146K/yr

Job title- Senior Data Engineer with MDM Location- Iselin, NJ (Need Onsite day 1, hybrid 3 days from office) . Our Client is seeking a Senior Data Engineer with MDM experience to join our team in ...

WorkNovas LLC

Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Sunnyvale, CA & Bentonville, AR - (On-Site) -     Worknovas is looking for a Data Engineer with Spark & Streaming skills builds real-time, scalable data pipelines using tools like Spark, Kafka ...

USM

JB061609 - Data Engineer with STTM

$117K - $140K/yr

We are looking for a Data Engineer with STTM (Source-to-Target Mapping), Snowflake, Salesforce. Huge win if they have Lead-to-Cash (L2C). Length: 3 months, may extend Location: 100% Remote * STTM ...

MST Solutions

Data Engineer

Phoenix, AZ · On-site

$109K - $131K/yr

Requirements: * Proven experience as a Data Engineer with a focus on big data. * Hands-on expertise with GCP product offerings. * In-depth knowledge of Google big data technologies. Skills:

United IT

Data Engineer with Insurance Domain

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer with Insurance Domain Location: Chicago, IL-Onsite Experience: 11+ Years Must have skills: ETL, DataStage, SQL and Auto Insurance or P&C background and some testing exp * Minimum 10+ ...

MST Solutions

Data Engineer

Phoenix, AZ · On-site

$109K - $131K/yr

Requirements: * Proven experience as a Data Engineer with a focus on big data. * Hands-on expertise with GCP product offerings. * In-depth knowledge of Google big data technologies. Skills:

MST Solutions

Data Engineer

Phoenix, AZ

$109K - $131K/yr

Requirements: * Proven experience as a Data Engineer with a focus on big data. * Hands-on expertise with GCP product offerings. * In-depth knowledge of Google big data technologies. Skills:

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Data Engineer With information

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$44.5K

$129.7K

$177.5K

How much do data engineer with jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data engineer with in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

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

To thrive as a Data Engineer, you need expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

More about Data Engineer With jobs
What cities are hiring for Data Engineer With jobs? Cities with the most Data Engineer With job openings:
What states have the most Data Engineer With jobs? States with the most job openings for Data Engineer With jobs include:
What job categories do people searching Data Engineer With jobs look for? The top searched job categories for Data Engineer With jobs are:
Data Engineer With jobs near you
Infographic showing various Data Engineer With job openings in the United States as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Back-End Data Engineer

Back-End Data Engineer

Redolent, Inc

San Bruno, CA • On-site

$136K - $164K/yr

Other

Posted 8 days ago

Job description


One of our direct client is urgently looking fora Back-end Data Engineer @ San Bruno, CA
TITLE: Back-End Data Engineer
LOCATION:San Bruno, CA
Duration: 6 to 12+ months
Rate: DOE
Duties:
Looking for a backend data engineer with Apache Sprak, Hive and Airflow knowledge.
Must-haves
Excellent knowledge with SQL and Hive (HiveQL)
Ability to build data pipelines using PySpark, Hive, and Scala Spark
Proficient knowledge of a programming language preferably Python or Java or Scala
Good-to-haves
Tableau, Looker and PowerBI experience
Knowledge of Google Cloud Platform (GCP)
Good understanding of Adobe Analytics or Google Analytics
Prior experience with Marketing datasets and building Marketing reporting
Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

Social media

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