Senior Data Engineer - Azure

Posted Yesterday
Hiring Remotely in Reston, VA, USA
In-Office or Remote
Senior level
Information Technology • Machine Learning • Marketing Tech • Software • App development • Generative AI
Tkxel delivers AI and software solutions for enterprises, specializing in cloud, data, and automation.
The Role
Lead design and implementation of scalable Azure-based data pipelines and architectures using ADF, Synapse, Spark/Databricks, and Power BI. Mentor engineering teams, ensure data security/compliance, collaborate with stakeholders, and drive adoption of best practices and new technologies.
Summary Generated by Built In

This is a remote position.

Overview


We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a deep understanding of Microsoft Azure's Data Analytics Platform and possess extensive experience with tools such as Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI. Knowledge of Microsoft Fabric is preferred but not necessary. This role requires a leader capable of guiding a team or multiple teams of Data Engineers and delivering successful Data Engineering projects. With 5 to 8 years of experience in the field, the Senior Data Engineer will play a crucial role in transforming raw data into actionable insights that drive our business forward.


Responsibilities


- Design, build, and maintain scalable and robust data pipelines using Azure Data Factory, Azure Synapse, and other relevant tools.

- Leverage Apache Spark or Databricks for big data processing and analytics.

- Develop and optimize data models, schema design and architectures for data warehousing and business intelligence using Power BI and other analytics tools.

- Lead and mentor teams of Data Engineers, providing technical guidance and oversight to ensure project success.

- Collaborate with cross-functional teams, including data scientists, business analysts, and IT professionals, to understand data needs and deliver comprehensive data solutions.

- Implement and maintain data security and compliance measures in line with organizational policies and regulations.

- Stay abreast of industry trends and advancements in data engineering and analytics technologies, applying best practices to improve processes and solutions.

- Drive the adoption of innovative data engineering techniques and tools, fostering a culture of continuous improvement and learning.



Requirements

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

- 3 to 6 years of experience in data engineering, with a strong focus on Microsoft Azure's Data Analytics Platform.

- Proficiency in Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI.

- Experience leading and managing teams of Data Engineers in a fast-paced environment.

- Strong understanding of data modeling, ETL processes, and data warehousing principles.

- Excellent problem-solving skills and the ability to work independently or as part of a team.

- Knowledge of Microsoft Fabric is preferred but not necessary.

- Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders.



Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
  • 3 to 6 years of experience in data engineering (Requirements section).
  • 5 to 8 years of experience in the field (Overview section).
  • Proficiency in Azure Data Factory.
  • Proficiency in Azure Synapse.
  • Experience with Apache Spark or Databricks.
  • Proficiency in Power BI.
  • Experience leading and managing teams of Data Engineers.
  • Strong understanding of data modeling, ETL processes, and data warehousing principles.
  • Excellent communication and interpersonal skills.
  • Excellent problem-solving skills and ability to work independently or in a team.
  • Knowledge of Microsoft Fabric.
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The Company
HQ: Reston, VA
1,000 Employees
Year Founded: 2008

What We Do

AI driven technology solutions for modern enterprises. We help organizations transform, scale, and innovate through a combination of artificial intelligence and advanced software engineering. By applying intelligent automation and data driven systems, businesses can simplify operations, improve efficiency, and unlock new growth opportunities. Our expertise includes AI strategy and consulting to identify high impact opportunities, AI development to build machine learning models and predictive systems, and intelligent automation to streamline workflows and boost productivity. We also deliver cloud migration, application modernization, embedded systems, and digital product engineering to help businesses move beyond legacy limitations and build scalable, future ready solutions. With a strong focus on results, we enable faster time to market, reduced operational costs, and improved performance across critical business functions. Every solution is tailored to specific goals, ensuring measurable outcomes and long term value. Take the next step toward smarter growth. Contact us now for a consultation and start transforming your business today.

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