

Pyramid Consulting, Inc
Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer, a 12-month onsite contract in Irving, TX, paying $70-$75/hour. Requires strong SQL, Python, Spark/PySpark skills, 6+ years in data engineering, and experience with Databricks and cloud platforms.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
600
-
ποΈ - Date
October 14, 2025
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Irving, TX
-
π§ - Skills detailed
#Data Modeling #SQL (Structured Query Language) #Data Architecture #Scala #Documentation #MIS Systems (Management Information Systems) #Azure #Batch #Cloud #AI (Artificial Intelligence) #Mathematics #BI (Business Intelligence) #Airflow #Database Architecture #Statistics #Data Engineering #PySpark #AWS (Amazon Web Services) #Consulting #Python #Data Lake #Microsoft Power BI #Data Processing #Spark (Apache Spark) #Databricks #Visualization #Computer Science #"ETL (Extract #Transform #Load)" #Tableau #Data Orchestration
Role description
Immediate need for a talented Senior Data Engineer. This is a 12 months contract opportunity with long-term potential and is located in Irving, TX (Onsite). Please review the job description below and contact me ASAP if you are interested.
Job ID: 25-78828
Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
β’ Lead the design, architecture, and implementation of key data initiatives and platform capabilities while ensuring alignment with business needs and scalability requirements.
β’ Optimize existing data workflows and systems to improve performance, cost-efficiency, identifying and guiding teams to implement innovative solutions.
β’ Lead and mentor junior data engineers, providing guidance on technical best practices, career development, and initiative execution.
β’ Lead cross-functional projects, collaborating with product managers, analysts, solutions architects, and other stakeholders to define requirements, prioritize tasks, and deliver high-quality solutions.
β’ Communicate effectively with non-technical stakeholders to understand business needs, translate them into technical specifications, and present technical concepts in a clear and concise manner.
β’ Stay up-to-date with the latest data engineering technologies, trends, and best practices, evaluating and recommending new tools and approaches to immediate teams and the broader organization.
β’ Contribute to the development of data engineering standards, processes, and documentation, promoting consistency and maintainability across teams while enabling business stakeholders.
Key Requirements and Technology Experience:
β’ Key Skills: Strong SQL, Python, Spark/PySpark.
β’ Bachelorβs degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics.
β’ Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling.
β’ Strong technical foundation in Python, SQL, Spark/Pyspark and experience with cloud platforms (for example, AWS, Azure,).
β’ Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.
β’ Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).
β’ Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.
β’ Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.
β’ Experience with the Databricks platform.
β’ Experience with CDP platforms like HighTouch.
β’ Looking for: Great SQL, Python, and PySpark skills
β’ Preferably experienced with Databricks
β’ Demonstrated data architecting and pipelining skills.
Our client is a leading Retail Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
Immediate need for a talented Senior Data Engineer. This is a 12 months contract opportunity with long-term potential and is located in Irving, TX (Onsite). Please review the job description below and contact me ASAP if you are interested.
Job ID: 25-78828
Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
β’ Lead the design, architecture, and implementation of key data initiatives and platform capabilities while ensuring alignment with business needs and scalability requirements.
β’ Optimize existing data workflows and systems to improve performance, cost-efficiency, identifying and guiding teams to implement innovative solutions.
β’ Lead and mentor junior data engineers, providing guidance on technical best practices, career development, and initiative execution.
β’ Lead cross-functional projects, collaborating with product managers, analysts, solutions architects, and other stakeholders to define requirements, prioritize tasks, and deliver high-quality solutions.
β’ Communicate effectively with non-technical stakeholders to understand business needs, translate them into technical specifications, and present technical concepts in a clear and concise manner.
β’ Stay up-to-date with the latest data engineering technologies, trends, and best practices, evaluating and recommending new tools and approaches to immediate teams and the broader organization.
β’ Contribute to the development of data engineering standards, processes, and documentation, promoting consistency and maintainability across teams while enabling business stakeholders.
Key Requirements and Technology Experience:
β’ Key Skills: Strong SQL, Python, Spark/PySpark.
β’ Bachelorβs degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics.
β’ Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling.
β’ Strong technical foundation in Python, SQL, Spark/Pyspark and experience with cloud platforms (for example, AWS, Azure,).
β’ Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.
β’ Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).
β’ Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.
β’ Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.
β’ Experience with the Databricks platform.
β’ Experience with CDP platforms like HighTouch.
β’ Looking for: Great SQL, Python, and PySpark skills
β’ Preferably experienced with Databricks
β’ Demonstrated data architecting and pipelining skills.
Our client is a leading Retail Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.