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Senior Data Engineer Jobs in Cairo, GA (NOW HIRING)

Senior Data Engineer ID71671

Boston, GA · On-site

$87K - $118K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern data platform - designing production-grade ETL/ELT pipelines, optimizing Snowflake data warehouse ...

Senior Data Engineer ID71671

Tallahassee, FL · On-site +1

$100K - $136K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to architect, build, and scale a modern data platform -- designing production-grade ETL/ELT pipelines, optimizing Snowflake data warehouse ...

Senior Data Engineer ID75059

Tallahassee, FL · On-site +1

$100K - $136K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large ...

Senior Data Engineer ID75059

Boston, GA · On-site

$87K - $118K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large ...

SENIOR DATA ANALYST

Tallahassee, FL · On-site

$62K - $68K/yr

SENIOR DATA ANALYST Pay Plan: Career Service Position Number: 70035924 Salary: $62,682.88-$68,381 ... Must possess at least four years of professional experience analyzing data and computer programming.

SENIOR DATA ANALYST

Tallahassee, FL · On-site

$62K - $68K/yr

SENIOR DATA ANALYST Pay Plan: Career Service Position Number: 70035924 Salary: $62,682.88-$68,381 ... Must possess at least four years of professional experience analyzing data and computer programming.

SENIOR DATA ANALYST

Tallahassee, FL · On-site

$62K - $68K/yr

SENIOR DATA ANALYST Pay Plan: Career Service Position Number: 70035924 Salary: $62,682.88-$68,381 ... Must possess at least four years of professional experience analyzing data and computer programming.

SENIOR DATA ANALYST

Tallahassee, FL · On-site

$62K - $68K/yr

SENIOR DATA ANALYST Pay Plan: Career Service Position Number: 70035924 Salary: $62,682.88-$68,381 ... Must possess at least four years of professional experience analyzing data and computer programming.

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... Senior level engineering professional providing technical direction required for production and ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... Senior level engineering professional providing technical direction required for production and ...

Senior Resident Engineer

Tallahassee, FL · On-site

$160K - $195K/yr

Overview We are seeking a Senior Resident Engineer to join our team in Tallahassee or Chipley, FL ... We connect people, data and technology to transform the world's infrastructure and energy systems.

Senior Bridge Engineer, PE Department: Transportation Employment Type: Full Time Location ... of data, performing calculations, and evaluation of alternate solutions. * Prepare written ...

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Showing results 1-20

Senior Data Engineer information

See Cairo, GA salary details

$54.1K

$84.4K

$117K

How much do senior data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior data engineer in Cairo, GA is $84,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $96,300.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What cities near Cairo, GA are hiring for Senior Data Engineer jobs?

Cities near Cairo, GA with the most Senior Data Engineer job openings:

Senior Data Engineer ID71671

AgileEngine

Boston, GA • On-site

$87K - $118K/yr

Full-time

Posted 6 days ago


Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to architect, build, and scale a modern data platform - designing production-grade ETL/ELT pipelines, optimizing Snowflake data warehouse schemas, and establishing robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and lineage frameworks, integrate third-party REST APIs and event-driven sources, and apply software engineering standards including CI/CD, Docker, and automated testing to data repositories. The role prioritizes clean, well-tested Python code and a deep commitment to data reliability and accessibility.
WHAT YOU WILL DO
- Data Pipeline Development: Design, build, and maintain reliable, scalable ETL/ELT workflows that process batch and streaming data from diverse sources.
- Data Warehousing & Modeling: Design efficient, production-ready schemas (normalized and denormalized) in Snowflake to optimize query performance and enable enterprise analytics.
- API & Event Integration: Connect and ingest data from third-party REST APIs, event-driven streams, and batch sources into core data storage platforms.
- Orchestration: Maintain and expand workflow orchestration pipelines using modern tools (Airflow, Prefect, or Dagster).
- Data Quality & Observability: Implement automated testing, validation, lineage tracking, and proactive alerting frameworks to guarantee data accuracy and system uptime.
- DataOps & Engineering Standards: Drive CI/CD best practices, maintain code bases using Git and Docker, and adopt basic Infrastructure-as-Code (IaC) patterns.
- Code Excellence: Apply modern software engineering standards-including design patterns, automated unit/integration testing, and clear documentation-to data repositories.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 4+ years of experience as a Data Engineer.
- Core Python Fundamentals: Demonstrable expertise writing modular, maintainable, and well-tested Python code (OOP/functional patterns, package management, standard testing frameworks).
- Advanced SQL & Modeling: Deep knowledge of complex SQL queries, query optimization, database design principles, and normalization/denormalization patterns.
- Data Warehousing: Solid, hands-on experience building, managing, and optimizing data architectures within Snowflake.
- Workflow Orchestration: Production experience using workflow orchestration engines like Apache Airflow, Prefect, or Dagster.
- Integrations & Ingestion: Hands-on experience working with REST APIs, event-driven architectures, and both batch and streaming pipelines.
- Data Quality & Lineage: Experience building automated data quality checks, data lineage, and alerting mechanisms (e.g., using tools like dbt test, Great Expectations, or similar).
- DevOps / DataOps Practices: Strong skills in version control (Git), containerization (Docker), CI/CD automation, and familiarity with Infrastructure-as-Code basics.
- Upper-intermediate English level.
NICE TO HAVES
- Experience with dbt (data build tool) for data transformations.
- Familiarity with major cloud providers (AWS, GCP, or Azure).
- Exposure to message streaming tech like Apache Kafka or AWS Kinesis.
PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location