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Data Engineer Data Scientist Jobs (NOW HIRING)

PB consulting

Data Scientist

Riverview, 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

Town And Country, 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

Maryland Heights, 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

Millstadt, IL · 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

Affton, 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

East Saint Louis, IL · 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

East Carondelet, IL · 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

Clayton, 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

Breckenridge Hills, 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

Dupo, IL · 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 ...

JTEC Consulting

Data Scientist / Data Engineer

Mclean, VA · Hybrid

$160K - $220K/yr

Data Scientist / Data Engineer McLean, VA 22102 JTEC Consulting LLC focuses on successfully delivering solutions to meet our clients' most critical needs. Our founding members have decades of ...

PB consulting

Data Scientist

Brooklyn, IL · 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

Overland, 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

Bridgeton, 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

Saint Louis, 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

Ferguson, 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

Hazelwood, 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 ...

QS/1 Data Systems

$140K - $145K/yr

Bachelor's degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may ...

QS/1 Data Systems

Clinical Data Scientist

Spartanburg, SC · On-site

$140K - $145K/yr

Bachelor's degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may ...

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Data Engineer Data Scientist information

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$46K

$165K

$243.5K

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 Scientist

Riverview, MO • On-site

PB consulting
See more jobs at PB consultingexternal

Full-time

Posted 23 days ago

Key responsibilities

  • Analyze large and complex structured and unstructured datasets to identify trends, patterns, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Generate reports, dashboards, and analytical resources to communicate insights to stakeholders.

Job description

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value.

Primary Responsibilities

  • Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making.

  • Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning.

  • Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis.

  • Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed.

  • Develop analytical models and algorithms to understand relationships and correlations across disparate datasets.

  • Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use.

  • Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders.

  • Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals.

  • Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions.

  • Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization.

  • Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs.

  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

  • Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed.

Required Qualifications & Experience

  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.

  • Strong experience working with large, complex, structured, and unstructured datasets.

  • Strong knowledge of statistics, mathematics, data analysis, and predictive modeling.

  • Hands-on experience with machine learning and AI techniques.

  • Strong proficiency in SQL and experience working with databases or data warehouses.

  • Experience with Python, R, or similar programming languages for data analysis and modeling.

  • Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

  • Experience integrating and analyzing data from multiple sources.

  • Strong understanding of data pipelines, data structures, and data engineering concepts.

  • Experience developing analytical models and translating business requirements into technical data science solutions.

  • Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights.

  • Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences.

  • Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.

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