1

Data Path Jobs in Georgia (NOW HIRING)

Data Architect

Atlanta, GA · Hybrid

$62.50 - $80.50/hr

Set the two-speed guardrail - make the governed, pattern-based path the default and define the narrow criteria under which a low-code workflow is permitted * Drop into delivery and build data ...

Data Architect

Atlanta, GA · On-site

$62.50 - $80.50/hr

Set the two-speed guardrail - make the governed, pattern-based path the default and define the narrow criteria under which a low-code workflow is permitted * Drop into delivery and build data ...

Growth Path This role provides a strong foundation for advancement within data quality, analytics, and data management functions. With demonstrated performance and expanded scope, this position may ...

Data Analyst - Senior

Atlanta, GA · On-site

$58 - $62/hr

Support solution design discussions by advising on available data, appropriate sources, integration paths, and readiness for downstream use. * Maintain data dictionaries, mapping documents, metadata ...

New

PCA Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Working at DPR, you'll have the chance to try new things, explore unique paths and shape your ...

Data & AI Platform Engineer

Duluth, GA

$105K - $126K/yr

At Armanino, you determine your career path. This means it's possible to pursue challenges you are ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

Data & AI Platform Engineer

Atlanta, GA

$110K - $132K/yr

At Armanino, you determine your career path. This means it's possible to pursue challenges you are ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

Data & AI Platform Engineer

Brunswick, GA

$103K - $124K/yr

At Armanino, you determine your career path. This means it's possible to pursue challenges you are ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

The Data Scientist 4 applies professional concepts and company objectives to resolve complex issues ... paths forward Identify opportunities to apply advanced analytics and Gen AI techniques where they ...

Data Engineering Lead- Finance

Atlanta, GA · On-site

$110K - $132K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Working at DPR, you'll have the chance to try new things, explore unique paths and shape your ...

Showing results 21-40

Data Path information

See Georgia salary details

$17.1K

$83.1K

$136.9K

How much do data path jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data path in Georgia is $83,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,790.00 and $115,152.00 per year, depending on experience, location, and employer.

What is a data path?

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?

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 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 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.

Infographic showing various Data Path job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,067 per year, or $39.9 per hour.

Data Engineer (AWS, Azure, GCP)

CapTech Consulting

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago


Job description

Company Description

CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.

Job Description

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. 

Specific responsibilities for the Data Engineer – Cloud position include:  

  • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) 
  • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly 
  • Utilizing your skills in engineering best practices to solve complex data problems 
  • Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.  
  • Articulating architectural differences between solution methods and the advantages/disadvantages of each 
Qualifications

Typical experience for successful candidates includes:    

  • Experience delivering solutions on a major cloud platform 
  • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture 
  • Experience in the design and implementation of data architecture solutions 
  • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines 
  • Ability to assess and utilize traditional and modern architectural components required based on business needs.   
  • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning. 

Skills: 

Successful candidates usually have demonstrable experience with technologies in some of these categories:  

  • Languages: SQL, Python, Java, R, C# / C++ / C 
  • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle 
  • DevOps: git, docker, subversion, Kubernetes, Jenkins 
  • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR 
  • Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer

Additional Information

We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. 

  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. 
  • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
  • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
  • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. 
  • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE.  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.

At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.