Data Engineer

Protagona; Dallas (TX); Hybrid; USD 115,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Annual performance bonus

Job summary

Protagona in Dallas, Texas is seeking a Data Engineer to join their talented team. In this role, you will be responsible for deploying and configuring cloud resources tailored to client business needs using AWS.

The ideal candidate will have proven experience in data engineering, including building data pipelines and using services such as AWS. The position offers a competitive salary and comprehensive benefits, including medical coverage and paid time off.

Qualifications

• Experience in data engineering with a focus on data pipelines and analytics.
• Skilled in writing custom data pipelines.
• Exposure to cloud services like AWS.

Responsibilities

• Evaluate business needs and collaborate with partners.
• Translate requirements into technical specifications.
• Plan projects, identify milestones, and track execution.
• Develop data pipelines and use various tools.
• Build data processing frameworks in AWS.

Skills

Data engineering experience

AWS Cloud Platform exposure

SQL and data transformations

Python scripting

Designing ETL processes

Tools

AWS services (EC2, S3, RDS, etc.)

Database Platforms (Redshift, PostgreSQL, etc.)

Job description

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client engagements cover a wide variety of business requirements and require our engineers to adapt quickly and stay on top of recent cloud technology trends. Candidates should be able to identify and remediate issues within cloud-based systems, based on their knowledge of industry standards and best practices.

Responsibilities

• Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management
• Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements
• Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution
• Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming
• Develop data pipelines / APIs using a variety of tools, including but not limited to Python, SQL, Spark and various AWS services
• Use an analytical, data-driven approach to drive a deep understanding of fast changing business
• Build large-scale batch and real-time data pipelines with data processing frameworks in AWS
• Moving data from on-prem to cloud and cloud data conversions

Desired Skills & Experience

• Experience in data engineering with an emphasis on data pipelines, analytics and reporting
• Exposure to the AWS Cloud Platform
• Experience in SQL, data transformations, and troubleshooting across at least one database Platform (Redshift, Amazon RDS, Cassandra, Snowflake, PostgreSQL, Databricks, etc.)
• Experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines
• Experience in a scripting languages such as Python
• Experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc

Nice to Haves

• AWS Certification - Solutions Architect Pro or Data Specialty
• Machine Learning experience
• Advanced GenAI experience

Compensation

The expected base salary range for this position is $115,000 – $130,000 USD annually, plus eligibility for an annual performance bonus. Actual compensation will depend on experience, skill set, and location.

Benefits

We offer a comprehensive benefits package that includes medical, dental, and vision coverage, and paid time off.