Applied Resource Group
Applied Resource Group provided pay range
This range is provided by Applied Resource Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$120,000.00/yr - $135,000.00/yr Location:
Smyrna, GA (Hybrid – 4 days onsite to start, transitioning to 3 days onsite after onboarding) Employment Type:
Full-time, Direct Hire Work Authorization:
U.S. Citizens and Green Card Holders only Visa Sponsorship:
Not available for this role About the Role We are seeking a highly skilled
Senior Data Engineer
to join a rapidly growing data team focused on building, scaling, and optimizing data pipelines and analytics infrastructure. This team plays a central role in transforming complex, high-volume datasets into actionable insights that support strategic business initiatives. This is a
net-new role , created as part of continued investment in modern data architecture and advanced analytics. You will contribute directly to the development and enhancement of cloud-native data systems, leveraging your expertise in Snowflake, AWS services, and Python to build robust, scalable solutions. This position is ideal for candidates who thrive in fast-paced, hands-on environments and who are passionate about modern data engineering practices. Key Responsibilities Design and build robust, scalable data pipelines using Python and Airflow Develop ETL/ELT workflows to integrate data from diverse internal and external sources Collaborate with cross-functional teams to enable data-driven decision making Maintain and optimize data warehouse infrastructure using
Snowflake Work within a
DevOps-driven
framework using
GitHub Actions
and
Terraform
to automate infrastructure and CI/CD pipelines Implement data quality checks, monitoring, and validation processes Participate in the enablement of AWS services through modular infrastructure code (Terraform) Leverage best practices in metadata management and data governance Stay informed about emerging tools and Snowflake features, including those related to AI/ML and advanced analytics Support business partners by building tools, dashboards, and reusable data models that simplify access to insights Required Skills & Experience 5–7+ years of professional experience in Data Engineering Hands-on experience with: Snowflake
(production-level use, not just POCs) AWS
(S3, RDS, Aurora, Lambda, SNS, SQS, EventBridge) Python
for building ETL/ELT pipelines and Lambda functions SQL
for data extraction, transformation, and querying Apache Airflow
for orchestration (experience building DAGs in Python) Familiarity with
GitHub Actions
for CI/CD Understanding of infrastructure-as-code concepts;
Terraform
experience is a strong plus Strong critical thinking, problem-solving, and ownership mindset Ability to work independently, take initiative, and contribute to a collaborative team culture Preferred Qualifications Experience with advanced analytics tools or working alongside data science teams Exposure to
Snowflake Cortex , AI/ML features, or text-to-SQL functionality Background in industries with regulated data environments (e.g., retail, distribution, logistics) Prior experience enabling infrastructure modules in AWS via Terraform The team is collaborative, hands-on, and passionate about delivering business value through data. There’s a strong emphasis on
accountability ,
ownership , and
continuous improvement . Engineers are empowered to manage their own infrastructure and contribute to high-impact initiatives from the ground up. Start Date:
ASAP Benefits include 401(k) with company match, healthcare coverage, PTO, and more Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Staffing and Recruiting Referrals increase your chances of interviewing at Applied Resource Group by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Engineer jobs in
Smyrna, GA . Atlanta, GA $106,300.00-$175,400.00 5 months ago Atlanta, GA $106,300.00-$175,400.00 1 week ago Atlanta, GA $105,000.00-$195,000.00 1 week ago Atlanta, GA $150,000.00-$200,000.00 1 week ago Atlanta, GA $106,300.00-$175,400.00 4 months ago Atlanta, GA $140,000.00-$180,000.00 3 weeks ago Atlanta, GA $106,300.00-$175,400.00 1 month ago Atlanta, GA $138,000.00-$181,650.00 2 weeks ago Atlanta, GA $108,000.00-$142,000.00 1 week ago Atlanta, GA $125,000.00-$135,000.00 2 days ago Data Engineer II (AWS, Databricks, Spark and Terraform)
Atlanta, GA $123,000.00-$203,000.00 2 weeks ago Atlanta, GA $80,000.00-$100,000.00 1 week ago Atlanta, GA $124,000.00-$162,800.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
This range is provided by Applied Resource Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$120,000.00/yr - $135,000.00/yr Location:
Smyrna, GA (Hybrid – 4 days onsite to start, transitioning to 3 days onsite after onboarding) Employment Type:
Full-time, Direct Hire Work Authorization:
U.S. Citizens and Green Card Holders only Visa Sponsorship:
Not available for this role About the Role We are seeking a highly skilled
Senior Data Engineer
to join a rapidly growing data team focused on building, scaling, and optimizing data pipelines and analytics infrastructure. This team plays a central role in transforming complex, high-volume datasets into actionable insights that support strategic business initiatives. This is a
net-new role , created as part of continued investment in modern data architecture and advanced analytics. You will contribute directly to the development and enhancement of cloud-native data systems, leveraging your expertise in Snowflake, AWS services, and Python to build robust, scalable solutions. This position is ideal for candidates who thrive in fast-paced, hands-on environments and who are passionate about modern data engineering practices. Key Responsibilities Design and build robust, scalable data pipelines using Python and Airflow Develop ETL/ELT workflows to integrate data from diverse internal and external sources Collaborate with cross-functional teams to enable data-driven decision making Maintain and optimize data warehouse infrastructure using
Snowflake Work within a
DevOps-driven
framework using
GitHub Actions
and
Terraform
to automate infrastructure and CI/CD pipelines Implement data quality checks, monitoring, and validation processes Participate in the enablement of AWS services through modular infrastructure code (Terraform) Leverage best practices in metadata management and data governance Stay informed about emerging tools and Snowflake features, including those related to AI/ML and advanced analytics Support business partners by building tools, dashboards, and reusable data models that simplify access to insights Required Skills & Experience 5–7+ years of professional experience in Data Engineering Hands-on experience with: Snowflake
(production-level use, not just POCs) AWS
(S3, RDS, Aurora, Lambda, SNS, SQS, EventBridge) Python
for building ETL/ELT pipelines and Lambda functions SQL
for data extraction, transformation, and querying Apache Airflow
for orchestration (experience building DAGs in Python) Familiarity with
GitHub Actions
for CI/CD Understanding of infrastructure-as-code concepts;
Terraform
experience is a strong plus Strong critical thinking, problem-solving, and ownership mindset Ability to work independently, take initiative, and contribute to a collaborative team culture Preferred Qualifications Experience with advanced analytics tools or working alongside data science teams Exposure to
Snowflake Cortex , AI/ML features, or text-to-SQL functionality Background in industries with regulated data environments (e.g., retail, distribution, logistics) Prior experience enabling infrastructure modules in AWS via Terraform The team is collaborative, hands-on, and passionate about delivering business value through data. There’s a strong emphasis on
accountability ,
ownership , and
continuous improvement . Engineers are empowered to manage their own infrastructure and contribute to high-impact initiatives from the ground up. Start Date:
ASAP Benefits include 401(k) with company match, healthcare coverage, PTO, and more Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Staffing and Recruiting Referrals increase your chances of interviewing at Applied Resource Group by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Engineer jobs in
Smyrna, GA . Atlanta, GA $106,300.00-$175,400.00 5 months ago Atlanta, GA $106,300.00-$175,400.00 1 week ago Atlanta, GA $105,000.00-$195,000.00 1 week ago Atlanta, GA $150,000.00-$200,000.00 1 week ago Atlanta, GA $106,300.00-$175,400.00 4 months ago Atlanta, GA $140,000.00-$180,000.00 3 weeks ago Atlanta, GA $106,300.00-$175,400.00 1 month ago Atlanta, GA $138,000.00-$181,650.00 2 weeks ago Atlanta, GA $108,000.00-$142,000.00 1 week ago Atlanta, GA $125,000.00-$135,000.00 2 days ago Data Engineer II (AWS, Databricks, Spark and Terraform)
Atlanta, GA $123,000.00-$203,000.00 2 weeks ago Atlanta, GA $80,000.00-$100,000.00 1 week ago Atlanta, GA $124,000.00-$162,800.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr