Data Engineer

KellyMitchell Group; Plano (TX); Hybrid; USD 72,000 - 103,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

ESOP (Employee-Owned)

Job summary

KellyMitchell is seeking a Data Engineer to design, build, and optimize large-scale data platforms. The role focuses on scalable pipelines, cloud infrastructure in AWS, and enabling data-driven decision-making across the organization.

The ideal candidate has 5+ years of data engineering experience, strong Python and SQL skills, and hands-on AWS and big data tech like Spark, Hadoop, Kafka, and data warehousing platforms. This is a 6+ month contract, with Plano, TX preferred and remote considered.

Qualifications

• 5+ years of Data Engineering experience.
• Strong programming experience with Python.
• Advanced SQL development and query optimization skills.
• Hands-on experience with AWS cloud services.
• Experience with Spark, Hadoop, and/or Kafka.
• Experience working with Databricks, Snowflake, and Redshift.
• Experience building and supporting large-scale data pipelines.
• Strong understanding of data warehousing and data architecture principles.
• Excellent analytical and problem-solving skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data solutions using Python and SQL.
• Develop and manage cloud-based data architecture within AWS environments.
• Work with big data technologies including Spark, Hadoop, and Kafka.
• Design and maintain data models, data lakes, and data warehouses.
• Utilize Databricks, Snowflake, and Redshift to support analytics and reporting initiatives.
• Collaborate with data scientists, analysts, engineers, and business stakeholders to deliver data solutions.
• Monitor data quality, performance, and reliability across platforms.
• Implement best practices for data governance, security, and scalability.

Skills

Python

SQL

AWS

Big data

Data warehousing

ETL/ELT

Team collaboration

Tools

Databricks

Snowflake

Redshift

Spark

Hadoop

Kafka

Job description

Job Summary

Our client is seeking a Data Engineer to support the design, development, and optimization of large-scale data platforms and analytics solutions. This role will focus on building scalable data pipelines, managing cloud-based data infrastructure, and enabling data-driven decision-making across the organization. The ideal candidate will have strong experience with Python, SQL, AWS, big data technologies, and modern data warehousing platforms.

This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role

Contract Details

• Duration: 6+ Month Contract (Opportunity for Extension)

Job Summary

Our client is seeking a Data Engineer to support the design, development, and optimization of large-scale data platforms and analytics solutions. This role will focus on building scalable data pipelines, managing cloud-based data infrastructure, and enabling data-driven decision-making across the organization. The ideal candidate will have strong experience with Python, SQL, AWS, big data technologies, and modern data warehousing platforms.

This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role

Contract Details

• Duration: 6+ Month Contract (Opportunity for Extension)
• Location: Plano, TX (Preferred) | Remote Considered

Core Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes
• Build and optimize data solutions using Python and SQL
• Develop and manage cloud-based data architecture within AWS environments
• Work with big data technologies including Spark, Hadoop, and Kafka
• Design and maintain data models, data lakes, and data warehouses
• Utilize Databricks, Snowflake, and Redshift to support analytics and reporting initiatives
• Collaborate with data scientists, analysts, engineers, and business stakeholders to deliver data solutions
• Monitor data quality, performance, and reliability across platforms
• Implement best practices for data governance, security, and scalability

Required Skills & Experience (Must-Haves)

• Previous Financial Services industry experience
• 5+ years of Data Engineering experience
• Strong programming experience with Python
• Advanced SQL development and query optimization skills
• Hands-on experience with AWS cloud services
• Experience with Spark, Hadoop, and/or Kafka
• Experience working with Databricks, Snowflake, and Redshift
• Experience building and supporting large-scale data pipelines
• Strong understanding of data warehousing and data architecture principles
• Excellent analytical and problem-solving skills

Preferred Skills & Experience (Nice-to-Haves)

• Experience supporting enterprise-scale data platforms
• Knowledge of real-time and streaming data architectures
• Experience with data governance and data quality frameworks
• Experience working in Agile environments
• Financial services industry experience

Key Competencies & Behaviors

• Strong analytical and critical-thinking skills
• Ability to work independently and collaboratively across teams
• Excellent communication and stakeholder management abilities
• Strong attention to detail and commitment to data quality
• Passion for continuous improvement and innovation

Work Environment

• Location: Plano, TX (Preferred) | Remote Considered

Compensation &Benefits

• Pay Range:The approximate pay range for this position is between$52.00 and $75.00.Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. Wecomply withlocal wage minimums.
• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

AboutKellyMitchell

At KellyMitchell, our culture is world class.We'removers and shakers! Wedon'tmind a bit of friendly competition, and we rewardhard workwith unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service.We'repassionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.