Data Engineer

Posted 23 Days Ago
Plano, TX, USA
In-Office
Mid level
Artificial Intelligence • Information Technology • Software • Database • Analytics
The Role
Design and maintain scalable ETL/ELT pipelines, develop data solutions using Databricks and Snowflake, and collaborate with cross-functional teams to ensure data quality and performance optimization.
Summary Generated by Built In

Ascentt is transforming the future of manufacturing through advanced Data Analytics, AI/ML, and Generative AI solutions. We partner with global manufacturing enterprises to convert complex industrial data into actionable, real-time business insights. Our teams work on scalable, high-impact engineering challenges across cloud, data, and intelligent automation ecosystems. If you are passionate about innovation, solving complex problems, and building next-generation data platforms, Ascentt offers an exciting opportunity to create real-world impact at scale.


We are looking for a passionate and highly motivated Data Engineer to join our growing data team. In this role, you will work on building scalable data platforms, optimizing large-scale data pipelines, and enabling data-driven decision-making across the organization. You will collaborate closely with Data Scientists, Analysts, and business stakeholders to develop modern cloud-based data solutions using technologies such as Databricks, Snowflake, PySpark, SQL, and Python. If you enjoy solving complex data challenges and working in a fast-paced, innovative environment, we’d love to connect with you.

Key Responsibilities:
  • Design, build, and maintain scalable ETL/ELT pipelines for processing large volumes of structured and unstructured data
  • Develop high-performance data processing solutions using PySpark and distributed computing frameworks
  • Build, optimize, and manage data platforms on Databricks and/or Snowflake
  • Write clean, efficient, and production-ready SQL queries and Python code for data transformation, automation, and analytics
  • Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product teams, and Business stakeholders to deliver data-driven solutions
  • Ensure data quality, governance, integrity, scalability, and reliability across enterprise data systems
  • Monitor, troubleshoot, and optimize existing pipelines, workflows, and database performance
  • Implement best practices around coding standards, testing, CI/CD, version control, and technical documentation
Required Skills & Qualifications:
  • 2–5 years of experience in Data Engineering or related roles
  • Strong hands-on experience with Databricks and/or Snowflake
  • Proficiency in SQL and Python programming
  • Practical experience with PySpark and distributed data processing
  • Solid understanding of Data Warehousing, ETL/ELT concepts, and Data Modeling
  • Experience working with large-scale datasets in cloud-based environments
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field
Preferred Skills:
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Familiarity with orchestration and transformation tools such as Airflow, dbt, or Azure Data Factory (ADF)
  • Knowledge of Git, CI/CD pipelines, and DevOps best practices
  • Exposure to Delta Lake, Lakehouse architecture, Kafka, Spark Streaming, or real-time data processing
  • Experience working in Agile/Scrum environments is a plus

Skills Required

  • 2-5 years of experience in Data Engineering or related roles
  • Strong hands-on experience with Databricks and/or Snowflake
  • Proficiency in SQL and Python programming
  • Practical experience with PySpark and distributed data processing
  • Solid understanding of Data Warehousing, ETL/ELT concepts, and Data Modeling
  • Experience working with large-scale datasets in cloud-based environments
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
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The Company
HQ: Plano, Texas
135 Employees
Year Founded: 2007

What We Do

At Ascentt, we build AI that truly works for enterprises—secure, intelligent, and built to scale. With over 15 years of expertise in AI, data, and analytics, we empower businesses to transform complexity into clarity. Our AI solutions don’t just process data; they unlock insights, automate workflows, and accelerate decision-making—seamlessly fitting into enterprise systems while keeping security at the forefront. We believe AI should be practical, precise, and user-friendly—delivering real, measurable impact, not just hype. That’s why we focus on building AI that helps organizations move faster, work smarter, and concentrate on what truly matters. Discover the power of AI built for scale. Discover Ascentt.

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