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Data Engineer Data Scientist Jobs (NOW HIRING)

Soni Resources

Data Engineer/Data Scientist

Houston, TX · On-site

The Data Engineer or Data Scientist enables data-driven decision-making across the enterprise. This role builds the infrastructure and analytics models that convert raw data into actionable insights ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Perform feature engineering, dataset preparation, and model optimization to improve predictive ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Perform feature engineering, dataset preparation, and model optimization to improve predictive ...

Request Technology, LLC

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Bachelor s degree * 3+ years of experience as a data analyst, data engineer, software engineer, data scientist, financial risk analyst, business intelligence analyst * Ability to write and optimize ...

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 ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

We are seeking a Data Scientist to design, build, and deliver predictive analytics, machine ... Perform feature engineering, dataset preparation, and model optimization to improve predictive ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Perform feature engineering, dataset preparation, and model optimization to improve predictive ...

ClickHouse

OR

$114K - $137K/yr

You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has lived the Data Engineer ...

campus4tech

Data Scientist

Manhattan, NY · On-site

Supporting roles include Data Scientists and Data Engineers who will collaborate to build models, manage data pipelines, and ensure scalable data infrastructure. Experience in the HR domain is a plus.

Embedding VC

Data Scientist

Redwood City, CA · On-site

First Data Scientist hire in the US - set the bar, shape the function, and build the foundation of ... Work across product, engineering, data, marketing, and finance - one of the most cross-functional ...

Graphite

Data Scientist

New York, NY · On-site

$160/hr

Graphite builds consumer-quality tools for modern software engineering teams, so they can ship ... About the Role Graphite is growing rapidly, and we're looking for a data scientist to support ...

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All JobsData Engineer Data Scientist Jobs

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 Jun 17, 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.

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.

What is the 80 20 rule in data science?

In data science and data engineering, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of effects come from 20% of causes. Data professionals often focus on the most impactful features or data subsets to optimize models and workflows efficiently.

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.

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.

Which pays more, a data engineer or a data scientist?

Data engineers and data scientists often have similar salary ranges, but data scientists tend to earn slightly higher on average due to their focus on advanced analytics and modeling skills. Salaries vary based on experience, location, and industry, with data scientists typically requiring expertise in machine learning and statistical analysis tools. Both roles are in high demand, and certifications or proficiency in programming languages like Python or SQL can influence compensation.

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.

Is 40 too late for data science?

Data engineers and data scientists can successfully transition into their roles at age 40 or older, as skills such as programming, data analysis, and machine learning are learnable at any age. Experience, continuous learning, and relevant certifications can enhance employability regardless of age, and many organizations value diverse backgrounds and perspectives.
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:
Data Engineer Data Scientist jobs near you
Infographic showing various Data Engineer Data Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Engineer/Data Scientist

Data Engineer/Data Scientist

Soni Resources

Houston, TX • On-site

Full-time

Posted 8 days ago

Job description

The Data Engineer or Data Scientist enables data-driven decision-making across the enterprise. This role builds the infrastructure and analytics models that convert raw data into actionable insights - supporting business intelligence, predictive modeling, and strategic initiatives across operations, finance, and product development.
Key Responsibilities:
  • Architect and manage modern data pipelines, warehouses, and lakehouses (Snowflake, Databricks, BigQuery).
  • Design and maintain ETL workflows that ensure data accuracy, quality, and accessibility.
  • Develop advanced analytics and machine learning models to uncover patterns and predict outcomes.
  • Create dashboards and visualizations that enable real-time insights for leadership teams.
  • Partner with business stakeholders to translate data outputs into measurable KPIs and ROI metrics.

Ideal Background:
  • 5-10 years of experience in data engineering, analytics, or data science.
  • Strong programming skills (Python, SQL, R), with experience in big data tools (Spark, Airflow) and BI platforms (Power BI, Tableau, Looker).
  • Advanced degree in Computer Science, Statistics, or a related field preferred.
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About Soni Resources

Sourced by ZipRecruiter

Soni is a premier staffing & recruitment company that is disrupting the human capital management space. Headquartered in New York, Soni has presence in 23 markets across the United States. We support each professional relationship with a cutting-edge approach, industry-leading insights, and a human touch. We are trusted to help companies and individuals tackle their challenges and capture their greatest opportunities. We are minority-owned, and diversity & inclusion is in our DNA. We are committed to creating environments where people are empowered to be their authentic selves.

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

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