Data Analytics Engineer
2 weeks ago
Position:
Data Analytics Engineer (SQL, Python)
Location:
Austin, Texas/ Sunnyvale, CA - Locals only
Duration:
Contract
Job ID:
171022
Job Overview:
We are seeking a highly skilled Data Analytics Engineer specializing in the data analytics space. The ideal candidate will have extensive experience in data engineering, data infrastructure, and management, with a strong focus on building and maintaining data pipelines, ensuring data quality, and collaborating with cross-functional teams. This role requires a proactive individual with excellent communication skills, attention to detail, and a passion for delivering high-quality, maintainable solutions.
Responsibilities:
- Build and maintain data pipelines (ETL/ELT) to support analytics and reporting needs.
- Utilize orchestration tools such as Airflow, dbt, or Prefect for workflow management.
- Work with cloud platforms like AWS and tools such as Snowflake for data storage and processing.
- Design and implement data lake and warehouse architectures (e.g., S3 + Athena, Delta Lake).
- Develop and maintain data models, including star/snowflake schemas and dimensional modeling.
- Ensure data quality and integrity through monitoring, validation, deduplication, and anomaly detection.
- Collaborate with cross-functional teams to share knowledge and ensure continuity in data systems.
- Maintain clear and structured documentation of project logic, decisions, and maintenance processes.
- Apply advanced SQL and Python skills for data manipulation and analysis.
- Follow version control and CI/CD practices for data workflows using tools like Git.
Qualifications:
- 5+ years of experience in data engineering, including building and maintaining data pipelines.
- Proficiency with orchestration tools such as Airflow, dbt, or Prefect.
- Strong experience with cloud platforms (e.g., AWS) and tools like Snowflake.
- Expertise in data modeling and data warehouse architecture.
- Advanced skills in Python for data manipulation (e.g., pandas, pyarrow, pyspark).
- 5+ years of experience in data infrastructure and management, including data quality assurance.
- Familiarity with version control and CI/CD practices for data workflows.
- Experience with advanced SQL and database technologies.
- Strong communication skills to effectively convey technical work to diverse audiences.
- Ability to work collaboratively in cross-functional teams and proactively identify issues and opportunities.
About PTR Global:
PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
- Pay any fee to be considered for, submitted to, or selected for any opportunity.
- Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
- Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.
Pay Range: $70 - $75
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at To report any concerns, please email us
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