Data Engineer

Jobtailor; Alabama; On-site; USD 95,000 - 130,000; Full time

Job summary

Jobtailor is seeking a data engineer to assist in building and maintaining data pipelines and ETL/ELT processes. You will work with senior engineers to ingest, transform, and load data from various sources, enabling modern data models and cloud-based solutions in AWS and Azure.

You will develop Python, SQL, and PySpark scripts, contribute to CI/CD practices, and help validate data quality across environments.

Qualifications

• Bachelor's degree in a technical field and relevant data engineering experience.
• Foundational knowledge of Python, Java, or SQL and data querying concepts.
• Experience with AWS or Azure and cloud-based data solutions is preferred.
• Exposure to ETL/ELT, data warehousing, and analytics concepts is desirable.
• Internships or projects in data engineering or cloud computing are a plus.

Responsibilities

• Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes.
• Support data models, databases, and cloud-based data solutions.
• Participate in data integration, migration, and modernization initiatives.
• Develop scripts, queries, and applications using Python, SQL, and PySpark.
• Support AWS and Azure cloud environments and CI/CD processes.
• Monitor pipelines, troubleshoot issues, and ensure data quality.

Skills

Python programming

SQL

PySpark

Data integration

ETL

Data warehousing

Data validation

Data modeling

Relational databases

Data querying

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

Git

Databricks

Power BI

Tableau

Kibana

Job description

• Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources
• Support the implementation and enhancement of data models, databases, and cloud-based data solutions
• Participate in data integration, migration, and modernization initiatives under senior engineer guidance
• Develop and maintain scripts, queries, and applications using Python, SQL, and PySpark
• Support cloud-based data environments and services in AWS and Azure
• Assist with CI/CD processes and software development best practices using Git and related tools
• Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution
• Perform data validation and quality assurance activities
• Collaborate with data engineers, developers, analysts, and stakeholders to deliver solutions
• Document technical processes, data flows, and system configurations
• Continuously develop technical skills and stay current with data engineering technologies and best practices

Requirements

• Must be able to obtain and maintain a Federal or DHS Public Trust
• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field
• Experience in data engineering, software engineering, data analytics, computer science, or a STEM-related technical discipline
• Foundational knowledge of Python, Java, or SQL
• Basic understanding of relational databases and data querying concepts
• Familiarity with AWS or Azure through coursework, certifications, internships, or professional experience
• Exposure to data integration, ETL, data warehousing, or analytics concepts
• Internship, academic, research, or project experience involving data engineering, cloud computing, or software development is nice to have
• Exposure to Databricks, Spark, or large-scale data processing technologies is nice to have
• Familiarity with Git is nice to have
• Basic understanding of software development lifecycle and Agile methodologies is nice to have
• Strong analytical, problem-solving, troubleshooting, communication, and collaboration skills
• Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB is nice to have
• Experience with Power BI, Tableau, or Kibana is nice to have
• Exposure to CI/CD tools and DevOps practices is nice to have
• AWS, Azure, Databricks, or related cloud/data certifications are nice to have
• Experience supporting healthcare, public sector, or federal clients is nice to have
• Interest in data architecture, machine learning, artificial intelligence, or advanced analytics is nice to have
• Previous consulting, client-facing, internship, or cooperative education experience is nice to have

Core Competencies

Demonstrates expertise in developing and maintaining data pipelines, ETL/ELT processes, and cloud-based data solutions using Python, SQL, and AWS or Azure. Strong analytical and problem-solving skills are essential for troubleshooting and ensuring data quality.

Highest-signal resume keywords

• Data Pipeline Development
• ETL/ELT Processes
• Cloud-Based Data Solutions
• Python Programming
• AWS or Azure Familiarity

ATS Optimization Keywords

Hard Skills

• Python
• SQL
• PySpark
• Data Integration
• ETL
• Data Warehousing
• Data Validation
• Data Modeling
• Relational Databases
• Data Querying

Soft Skills

• Analytical Skills
• Problem-Solving
• Troubleshooting
• Communication
• Collaboration

Certifications & Qualifications

• AWS Certification
• Azure Certification
• Data Engineering Certification

Industry Keywords

• Data Engineering
• Cloud Computing
• Healthcare
• Public Sector
• Federal Clients

Tools & Technologies

• AWS
• Azure
• Git
• Databricks
• Power BI
• Tableau
• Kibana
• CI/CD Tools
• Agile Methodologies
• DevOps Practices