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Data Jobs (NOW HIRING)

Own or contribute to the enterprise data inventory, including priority systems, data owners, business definitions, lineage, dependencies, and quality gaps. * Translate business processes and ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Company Description Payline Data creates solutions that deliver exceptional payment experiences - solutions that make payments faster, easier and more secure. Our company is built on the foundation ...

NY · On-site

Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions ...

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Data Ideology At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable ...

Compliance Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

We're looking for a Compliance Senior Data Analyst with deep SQL expertise, strong logical reasoning skills, and the ability to use Python, APIs, or similar tools to automate data workflows. This ...

Make a difference with data. Are you passionate about using data to drive positive change in education? Join our mission to help K-12 schools turn complex education data into clear, actionable ...

Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our ...

Senior Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

Data Analyst Dahlgren Naval Surface Warfare Center, Dahlgren, VA Salary negotiable (Dependent on experience level) - Full Time with Benefits Flexible Start-Date - Contingent on contract award The ...

At MDC Data Centers, we're looking for a hands-on, detail-driven technician ready to support the core of our infrastructure. If you thrive in a high-performance environment and enjoy solving complex ...

With over 150 data centers across more than 20 countries globally, we offer unparalleled opportunities to work on cutting-edge technology and transformative projects. Experience a collaborative ...

Data Engineer

$117K - $140K/yr

Join our growing data team at Green River as a Data Engineer. This role will support projects that matter by designing, building, and maintaining robust data infrastructure and workflows to support ...

Data Entry Remote Work

Avondale, AZ · Remote

$17.75 - $23.50/hr

Data Entry Remote Work Avondale, AZ, United States Job Openings Data Entry Remote Work A Data Entry Clerk, is responsible for inputting data and making changes to existing data figures in digital ...

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DATA information

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$46K

$165K

$243.5K

How much do data jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data 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 are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

What cities are hiring for Data jobs?

Cities with the most Data job openings:

What are the most commonly searched types of Data jobs?

The most popular types of Data jobs are:

What states have the most Data jobs?

States with the most job openings for Data jobs include:

Infographic showing various Data job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% 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

Miami, FL • On-site

Other

Medical, Dental, Vision, Life, PTO

Posted 8 days ago


Job description

About Hut 8

Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world's largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you're an ambitious individual looking for a career that is as rewarding as it is challenging, you've come to the right place.

The Role
  • Own or contribute to the enterprise data inventory, including priority systems, data owners, business definitions, lineage, dependencies, and quality gaps.
  • Translate business processes and stakeholder needs into data requirements, source mappings, data models, quality rules, and measurable acceptance criteria.
  • Partner with Data Operations and Software Engineering to improve ingestion, transformation, integration, monitoring, governance, and lifecycle management.
  • Prepare and maintain enterprise data for agentic workflows by supporting semantic layers, knowledge bases, metadata, retrieval indexes, data contracts, access controls, and evaluation datasets.
  • Apply data science and analytical methods to develop reusable models, reports, dashboards, and decision-support products.
  • Monitor the reliability and usefulness of data products and agentic workflows, using quality findings and user feedback to drive continuous improvement.
  • Communicate data limitations, recommendations, and business impact clearly to technical and non-technical stakeholders.
Requirements
  • Bachelor's or master's degree in data science, Statistics, Computer Science, Engineering, Business Analytics, Mathematics, or a related field.
  • 6+ years of experience in data science, enterprise data management, analytics engineering, data engineering, or a closely related discipline.
  • Strong proficiency in Python and SQL, with experience working with relational databases, data warehouses, and ETL/ELT processes.
  • Familiarity with cloud data platforms such as Snowflake or BigQuery, data modeling, data quality, and lineage concepts.
  • Understanding of machine learning and AI concepts, including large language models, natural language processing, retrieval-augmented generation, and intelligent agents.
  • Strong ability to connect business processes to data structures, analytical outputs, and practical implementation plans.
  • Clear written and verbal communication skills and the ability to work effectively across technical and business teams.
Nice to Have
  • Experience with semantic layers, ontologies, metadata management, knowledge bases, embeddings, agent evaluation, Airflow or Luigi, Tableau, Metabase, Git, CI/CD, or cloud infrastructure.
Work Environment

This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

What Makes Hut 8 a Great Place To Work

Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality.

At Hut 8, You Will Have The Opportunity To
  • Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting.
  • Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government.
  • Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team.
  • Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure.
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