Sr Data Engineer (AWS/Python/Scala)

Yoh, A Day & Zimmermann Company; Plano (TX); Hybrid; USD 73,000 - 110,000; Part time

Benefits offered by this job

Medical, Prescription, Dental & Vision

Health Savings Account

Life & Disability Insurance

401K Retirement Savings Plan

Direct Deposit & weekly epayroll

Certification and training

Referral Programs

Job summary

Yoh, a Day & Zimmermann Company, seeks a Senior Big Data/Machine Learning Engineer to design and implement scalable data platforms and ML-ready pipelines. Hybrid role with multiple U.S. locations including Plano, NY, DC, and more. Strong Python/Scala, AWS EMR/Glue, Kafka, and SQL required.

The role focuses on building real-time data solutions, REST APIs, and collaborating across data science and software teams to deliver reliable, scalable data systems.

Qualifications

• Senior-level experience in data engineering, big data, or machine learning engineering.
• Strong hands-on experience with Python and/or Scala.
• Experience developing solutions in AWS environments.
• Practical experience with AWS EMR and AWS Glue.
• Experience building and consuming REST APIs.
• Experience with Kafka and streaming data architectures.
• Strong SQL development and data manipulation skills.
• Experience working with distributed data processing and large-scale data platforms.
• Strong communication and collaboration skills.

Responsibilities

• Design, develop, test, and support scalable data engineering solutions.
• Build and maintain data pipelines using AWS services, including EMR and Glue.
• Develop distributed data processing applications using Python and Scala.
• Implement real-time and event-driven data solutions using Kafka and streaming technologies.
• Create and integrate REST APIs to support data and application workflows.
• Write complex SQL queries for data transformation, analysis, validation, and troubleshooting.
• Collaborate with data scientists, software engineers, architects, and business stakeholders.
• Ensure solutions meet standards for performance, reliability, scalability, security, and data quality.
• Troubleshoot production issues and support ongoing enhancements to data platforms.
• Contribute to technical documentation, code reviews, testing, and Agile delivery practices.
• Apply machine learning or artificial intelligence capabilities where appropriate.

Skills

Python

Scala

AWS

REST APIs

Kafka

SQL

Distributed processing

Big data

Tools

AWS EMR

AWS Glue

Spark

PySpark

Job description

Location Plano, United States Sector IT

Senior Data Engineer
Location: McLean, VA; NYC, Wilmington, Boston, Plano, Chicago, or Richmond)
Work Arrangement: Hybrid
Contract:6+ month

We are seeking a Senior Big Data/Machine Learning Engineer to support the design, development, and implementation of scalable data engineering and machine learning solutions. The ideal candidate will have strong experience with Python, Scala, AWS data services, distributed processing, streaming technologies, SQL, and REST APIs.

Responsibilities

• Design, develop, test, and support scalable data engineering solutions.
• Build and maintain data pipelines using AWS services, including EMR and Glue.
• Develop distributed data processing applications using Python and Scala.
• Implement real-time and event-driven data solutions using Kafka and streaming technologies.
• Create and integrate REST APIs to support data and application workflows.
• Write complex SQL queries for data transformation, analysis, validation, and troubleshooting.
• Collaborate with data scientists, software engineers, architects, and business stakeholders.
• Ensure solutions meet standards for performance, reliability, scalability, security, and data quality.
• Troubleshoot production issues and support ongoing enhancements to data platforms.
• Contribute to technical documentation, code reviews, testing, and Agile delivery practices.
• Apply machine learning or artificial intelligence capabilities where appropriate.

Required Qualifications

• Senior-level experience in data engineering, big data, or machine learning engineering.
• Strong hands-on experience with Python and/or Scala.
• Experience developing solutions in AWS environments.
• Practical experience with AWS EMR and AWS Glue.
• Experience building and consuming REST APIs.
• Experience with Kafka and streaming data architectures.
• Strong SQL development and data manipulation skills.
• Experience working with distributed data processing and large-scale data platforms.
• Strong communication and collaboration skills.

Preferred Qualifications

• Experience applying artificial intelligence or machine learning techniques.
• Experience with Spark, PySpark, or similar big data frameworks.
• Familiarity with AWS data, storage, and security services.
• Experience supporting production data pipelines and enterprise applications.
• Prior experience in financial services or other highly regulated environments.

Estimated Min Rate

$52.73

Estimated Max Rate

$80.00

What’s In It for You?

We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

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