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Data Engineer Data Scientist Jobs (NOW HIRING)

Cherokee Federal

Data Scientist - Mid

Washington, DC · On-site

$110K - $122K/yr

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written ...

Cherokee Federal

Data Scientist - Mid

Washington, DC · On-site

$110K - $122K/yr

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written ...

Unchain Data

Data Scientist

Miami, FL · On-site

Partner with Data Operations and Software Engineering to improve ingestion, transformation ... Apply data science and analytical methods to develop reusable models, reports, dashboards, and ...

Cherokee Federal

Data Scientist - Mid

Washington, DC · On-site

$140K - $155K/yr

Provides modeling/visualization[RS1] , machine learning, statistic, data engineering, pattern recognition/learning support to organization as needed. * Use data science approaches to identify ...

ClifyX

Data Engineer/ Scientist

Monroe, NC · On-site

ClifyX is focused on data engineering and science, and they are seeking a Data Engineer/ Scientist to create and maintain engineering systems for data analytics. The role involves compiling data from ...

Info Way Solutions

Sr Data Engineer/Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

... scientists, analysts, and stakeholders to meet data needs and stay updated on AWS advancements. Qualifications : Required : • Experience: 8+Years for Sr Data Engineer • Experience: 5+Years for ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company ... Data Scientist Duration: 12+ Months Location: Remote Rate: $75-$80/hr on W2 Key points: Developing ...

PB consulting

Data Scientist

Mitchell, IL

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical ...

PB consulting

Data Scientist

Woodson Terrace, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical ...

PB consulting

Data Scientist

Black Jack, MO · On-site

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical ...

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Data Engineer Data Scientist information

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$165K

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How much do data engineer data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data engineer data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

How do data engineer data scientists typically collaborate with other teams within an organization?

Data Engineer Data Scientists often work closely with data analysts, software engineers, and business stakeholders to ensure that data pipelines are both reliable and tailored to business needs. They are responsible for transforming raw data into actionable insights, which means they regularly participate in cross-functional meetings to understand project requirements and feedback. Collaboration often includes designing data models, optimizing queries, and deploying machine learning models, all while ensuring data integrity and security. This collaborative environment not only enhances the quality of data-driven solutions but also provides opportunities for continuous learning and professional growth.

What are the key skills and qualifications needed to thrive as a data engineer or data scientist, and why are they important?

To thrive as a Data Engineer or Data Scientist, you need a strong background in mathematics, statistics, programming (commonly Python or SQL), and data modeling, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Hadoop or Spark), data visualization tools, and cloud platforms (like AWS or Azure), as well as relevant certifications, is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities enable professionals to efficiently process complex data, drive data-informed decisions, and add value to organizations.

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

AspectData EngineerData Analyst
Required CredentialsBachelor's/Master's in CS, Engineering, or related; often certifications in cloud or big data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentBuilds data pipelines, manages databases, works with big data toolsAnalyzes data, creates reports, visualizations for business insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting

While Data Engineers focus on building and maintaining data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Analysts focus on data analysis and reporting.

Can a data engineer work as a data scientist?

A data engineer can transition to a data scientist role since both require strong skills in data manipulation, programming, and understanding of data systems. However, data scientists typically focus more on statistical analysis, machine learning, and modeling, which may require additional training or experience. Familiarity with tools like Python, R, and SQL is common to both roles.

What cities are hiring for Data Engineer Data Scientist jobs?

Cities with the most Data Engineer Data Scientist job openings:

What states have the most Data Engineer Data Scientist jobs?

States with the most job openings for Data Engineer Data Scientist jobs include:

What are popular job titles related to Data Engineer Data Scientist jobs?

For Data Engineer Data Scientist jobs, the most frequently searched job titles are:

Data Engineer Data Scientist jobs near you
Infographic showing various Data Engineer Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer / Data Scientist in Atlanta

Atlanta, GA • On-site

NLB Services
Recruiting and Staffing Services • 10K+ employees
Learn more about NLB Servicesexternal

Full-time

Re-posted 4 days ago

Job description

Job Summary:
NLB Services is a company focused on data solutions, and they are seeking a Data Engineer / Data Scientist to analyze complex datasets and develop data pipelines. The role involves collaborating with various teams to implement data-driven solutions and utilize machine learning models for fraud detection and transaction analytics.
Responsibilities:
• Analyze large and complex datasets to identify trends, insights, and business opportunities within the payment domain.
• Develop, optimize, and maintain data pipelines to support business intelligence and analytics.
• Work extensively with Aurora DB (MySQL/PostgreSQL) for data modeling, querying, and performance tuning.
• Design and implement scalable data architectures, ensuring data integrity and security.
• Collaborate with data analysts, software engineers, and business teams to define data-driven solutions.
• Implement machine learning models to enhance fraud detection, transaction analytics, and customer behavior analysis.
• Automate data ingestion, transformation, and storage processes using ETL frameworks.
• Utilize cloud platforms (AWS, GCP, or Azure) for data engineering and storage solutions.
• Monitor data quality, identify anomalies, and improve data accuracy.
• Stay updated on industry trends, particularly in payments domains, fintech, and emerging data technologies.
Qualifications:
Required:
• 3-6 years of experience as a Data Engineer/Data Scientist, preferably in the payment domain industry.
• Strong expertise in Aurora DB (MySQL/PostgreSQL) – schema design, indexing, query optimization, and performance tuning.
• Proficiency in SQL and database management.
• Hands-on experience with Python, R, or Scala for data processing and analysis.
• Experience with ETL frameworks and data pipeline development.
• Familiarity with Big Data technologies (e.g., Spark, Hadoop, Kafka) is a plus.
• Cloud experience in AWS, GCP, or Azure, particularly in data storage and processing.
• Strong analytical and problem-solving skills with experience in predictive modeling and statistical analysis.
• Knowledge of fraud detection, transaction processing, or risk analytics in payments is highly desirable.
• Experience working with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Ability to communicate insights and recommendations to stakeholders effectively.
Preferred:
• Certifications in AWS Data Engineering, Big Data, or Machine Learning are a plus.
Company:
NLB Services is a fast growing consulting, analytics and digital transformation company. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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