Senior Data Engineer (Databricks) - Daugherty Business Solutions
St. Louis, MO 63141
About the Job
This is a full-time, employee position. Corp-to-Corp or 1099/W2 contract is NOT available for this position.
Must be located in one of the following: Atlanta, Chicago, Columbus, Dallas, Minneapolis, New York Area, St. Louis. This position is mostly Remote but there may be certian clients/projects where onsite is required up to 3 days a week.
Daugherty Business Solutions brings a fresh approach to data engineering by delivering results through unmatched innovation and world-class technology and talent. This is why many of the most well-known companies in the world trust us with their mission-critical projects. As a team member at Daugherty, you will play an integral role in our company’s success and are recognized and valued for your contributions. We have an entrepreneurial culture with the maturity and security of a 35+ year company helping you to create your best work and take your career to the next level.
We are seeking a skilled Senior/Principal Consultant and experienced Data Engineer with expertise in Databricks, Azure, and Spark to join our dynamic team.
Responsibilities:- Translate business needs into technology strategies and solutions that drive value for clients
- Convey complex technical concepts to non-technical audiences
- Design, develop and deploy end-to-end data pipelines using Databricks, Azure Data Factory and Spark to ingest, process and analyze large volumes of structured and unstructured data
- Collaborate with data scientists, analysts and other stakeholders to understand business requirements and translate them into technical solutions
- Optimize and tune data pipelines for performance, reliability and scalability to ensure efficient processing of data
- Implement data governance and security best practices to ensure the integrity and confidentiality of data
- Develop and maintain documentation, including data flow diagrams, technical specifications and user guides
- Stay up to date with emerging technologies and best practices in data engineering, cloud computing and big data analytics
- 7+ years in technology consulting or a related field, with a track record of delivering technology solutions to clients
- Experience in a leadership or senior consulting role, demonstrating the ability to manage and execute complex projects
- Proven experience as a Data Engineer, with at least 5 years of hands-on experience in designing and building data pipelines
- Ability leading teams in delivering large-scale, complex technology solutions
- Ability to oversee all phases of the project lifecycle, from scoping and planning to execution and delivery
- Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics) and Spark for big data processing and analytics
- Strong programming skills in Python, Scala or Java, with experience in writing complex SQL queries
- Experience with data modeling, ETL/ELT processes and data warehousing concepts
- Excellent problem-solving skills and attention to detail, with the ability to troubleshoot and debug complex data engineering issues
- Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
- Able to articulate ideas clearly, present findings persuasively and build rapport with clients and team members
- Ability to effectively communicate technical concepts to non-technical stakeholders
- Relevant certifications in Databricks, Azure or Spark (e.g., Azure Data Engineer, Databricks Certified Associate) are a plus
- Bachelor’s degree in computer science, Engineering or related field; Master's degree preferred
Why Daugherty?
- Opportunity to work on high-impact projects with Fortune 500 companies.
- A culture that promotes collaboration, innovation, and continuous learning.
- Competitive compensation and benefits package.
- Flexible work environment with remote options.
- Strong commitment to professional development and career growth.
Daugherty Business Solutions is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
If you require accommodations or assistance to complete the online application process, please inform any recruiter you are working with (or send an email to careers@daugherty.com) and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The recruiting team will respond to your email promptly.
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