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Data Path Jobs in Arkansas (NOW HIRING)

Train and support cross-functional teams on new data governance SOPs, catalog workflows, escalation pathways, and data quality expectations. * Perform additional duties as assigned. Qualifications

Core use cases include path to conversion, average purchase cycle, new to brand analysis ... Utilize strong SQL skills to analyze data and generate insights * Build and maintain a library of ...

Core use cases include path to conversion, average purchase cycle, new to brand analysis ... Utilize strong SQL skills to analyze data and generate insights * Build and maintain a library of ...

Data Platform Architect

North Little Rock, AR · On-site

$60.75 - $78.25/hr

This is an opportunity for a Data Platform Lead position within First Orion's Data Engineering ... path frameworks, tuition reimbursement, company options and bonus potential you have many ways to ...

Data Platform Architect

North Little Rock, AR · On-site

$60.75 - $78.25/hr

This is an opportunity for a Data Platform Lead position within First Orion's Data Engineering ... path frameworks, tuition reimbursement, company options and bonus potential you have many ways to ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask ...

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Showing results 1-20

Data Path information

See Arkansas salary details

$19.6K

$95K

$156.6K

How much do data path jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data path in Arkansas is $95,010.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,936.00 and $131,707.00 per year, depending on experience, location, and employer.

What are some common challenges faced in a Data Path engineering role, and how can applicants prepare for them?

Data Path engineers often encounter challenges related to optimizing data throughput, minimizing latency, and ensuring data integrity across complex hardware and software systems. Applicants should be prepared to troubleshoot performance bottlenecks, work closely with cross-functional teams like software, hardware, and network engineers, and stay updated on evolving protocols and standards. Developing strong problem-solving skills, familiarity with hardware description languages, and experience with system-level debugging tools can help you tackle these challenges effectively.

What is a Data Path in computing?

A Data Path is a critical component within a computer's processor that handles the flow and processing of data. It typically consists of elements like registers, arithmetic logic units (ALUs), and buses, which work together to execute instructions and move data within the CPU. Data Paths are designed to perform operations such as addition, subtraction, and data transfer efficiently, impacting the overall speed and capability of a processor. Understanding Data Paths is essential for those involved in computer architecture and hardware design.

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

To thrive as a Data Path Engineer, you need a solid background in computer engineering, digital design, and experience with hardware description languages like Verilog or VHDL, typically supported by a relevant engineering degree. Familiarity with simulation tools (e.g., ModelSim, Synopsys), FPGA/ASIC design flows, and version control systems is essential. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help you excel in cross-functional engineering teams. These skills and qualities ensure accurate, efficient data path designs that meet performance requirements within complex hardware systems.

What is the difference between Data Path vs Data Analyst?

AspectData PathData Analyst
Required CredentialsTypically a degree in data science, computer science, or related fieldsUsually a degree in statistics, mathematics, or related areas
Work EnvironmentData engineering teams, IT departments, or data infrastructure rolesBusiness units, marketing, finance, or operations teams
Industry UsageUsed in organizations focusing on data infrastructure and pipelinesCommon in business analysis, reporting, and decision-making roles

Data Path professionals focus on building and maintaining data infrastructure, while Data Analysts interpret data to support business decisions. Both roles require strong technical skills but serve different functions within data management and analysis.

What are popular job titles related to Data Path jobs in Arkansas? For Data Path jobs in Arkansas, the most frequently searched job titles are:
What cities in Arkansas are hiring for Data Path jobs? Cities in Arkansas with the most Data Path job openings:
Infographic showing various Data Path job openings in Arkansas as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $95,010 per year, or $45.7 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

New York, New York 10036

Company Description

CareAbout Health is a managed services organization (MSO) that provides expert advice, resources, tools, and other support to its portfolio of medical groups and healthcare focused companies. CareAbout Health is helping align incentives to create a world where patients, providers, and payers work together in a seamless, coordinated manner toward common goals: higher quality, lower cost, better outcomes.

Role Title: Data Steward

FLSA Category: Exempt Role

Role Location: Remote

Reporting Relationships:

This position reports to CareAbout Health's SVP Medical Economics.

Role Summary and Responsibilities:

The Data Steward will lead CareAbout Health's data stewardship and data governance efforts, bridging technical execution and business utility across Data Engineering, Medical Economics, Clinical, Quality, and Operations teams.

  • Establish and maintain the enterprise data catalog and define standard operating procedures that support high-quality, well-documented, and usable healthcare data.
  • Lead a small team, ensuring inbound data is handled diligently, issues are identified and resolved timely, and work is aligned to business priorities.
  • Document and map the current state of the data ecosystem, design a pragmatic future state, and manage the phased transition plan between the two.

Key Responsibilities / Essential Functions:

  • Manage the work of outsourced data ingestion resources, including intake prioritization, quality review, issue escalation, timely follow-up, and coordination with internal stakeholders.
  • Establish and manage a transparent framework to balance competing data requests, cataloging priorities, and governance needs across Engineering, Medical Economics, Clinical, Quality, and Operations teams.
  • Act as a translator and point of alignment between technical teams and business / operational stakeholders to ensure data governance practices support usability, compliance, and business decision-making.
  • Partner with Data Engineering to oversee governance of data ingestion pipelines, ensuring data quality, lineage, metadata, and ownership are captured at the point of entry.
  • Lead the selection, implementation, rollout, and adoption of an enterprise data catalog tool, prioritizing critical data assets used by Medical Economics, Clinical, Quality, and Operations teams.
  • Author, implement, and maintain standard operating procedures for data ingestion governance, metadata standards, access control, master data management, and issue triage.
  • Design and maintain a data quality / governance incident reporting process to capture, track, resolve, and trend data anomalies identified by downstream users.
  • Create reporting structures and metrics that track data quality over time, identify recurring problem areas, and support continuous improvement.
  • Build strong working relationships with key leads and users across Engineering, Medical Economics, Clinical, Quality, and Operations to support adoption of data governance standards.
  • Support governance of healthcare data sets, including claims data, EHR / clinical data, risk adjustment, utilization, quality metrics, and other data used in value-based care and medical economics analyses.
  • Train and support cross-functional teams on new data governance SOPs, catalog workflows, escalation pathways, and data quality expectations.
  • Perform additional duties as assigned.

Qualifications

  • BA/BS required in Data Management, Information Systems, Business Analytics, Healthcare, Computer Science, Statistics, or a related discipline; master's degree preferred.
  • 5+ years of dedicated experience in data management, data stewardship, data governance, data engineering, analytics, or related healthcare data functions required.
  • Experience leading, coordinating, or managing the work of small teams, contractors, or outsourced resources required.
  • Strong background working with healthcare data, including claims data, EHR / clinical data, risk adjustment, utilization, quality metrics, or value-based care data required.
  • Hands-on experience with modern data catalog or metadata management tools such as Collibra, Alation, Atlan, or similar platforms preferred.
  • Solid understanding of data warehousing, ETL / ELT processes, SQL, data lineage, metadata, master data management, and data quality controls required.
  • Experience developing and implementing SOPs, governance workflows, metadata standards, access controls, data quality standards, or stewardship procedures required.
  • Strong project management skills, including structured thinking, documentation, prioritization, issue tracking, milestone management, and stakeholder follow-up.
  • Proven ability to take complex, ambiguous current-state environments and build toward a defined, scalable future state.
  • High attention to detail and ability to identify, document, investigate, and resolve data quality issues through disciplined processes.
  • Strong communication and interpersonal skills, with the ability to build consensus and manage competing priorities across technical, clinical, operational, and leadership stakeholders.
  • High level of proficiency with MS Office, with an emphasis on Excel and PowerPoint, required.
  • Adaptable to change in the organizational environment and comfortable operating in a developing data governance function.

Physical Requirements

  • Mainly sedentary.
  • Sitting at the desk most of the day.
  • Standing or walking less than two hours per day.
  • Lifting no more than ten pounds on rare occasions.
  • Must be able to work at a computer and answer phone calls on a regular basis.

Featured Benefits:

  • Health, dental, and vision insurance.

  • 401K with automatic employer contribution.

  • PTO and Paid Holidays.

  • Company paid Life Insurance.

  • Access to voluntary short and long-term disability insurance.

  • Access to additional life insurance.

  • Access to a variety of Wellness programs.

CareAbout Health is committed to providing an environment of mutual respect where equal opportunities are available to all applicants and employees without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances (referred to as "protected characteristics").

We are interested in every qualified candidate who is legally able to work in the United States without sponsorship. We cannot offer any visa sponsorship now at this time.

Compensation is based on the level and requirements of the role.

Salary within our ranges may also be determined by your education, experience, knowledge, skills, abilities, and location, as required by the role, as well as internal equity and alignment with market data.