Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Sr. Data Engineer role involves designing and implementing scalable data infrastructure to support real-time machine learning and recommendation models, working closely with ML engineers and product teams.
Responsibilities and impact
The candidate will design, build, and maintain batch and streaming data pipelines, develop feature stores, implement data validation and monitoring, optimize workflows, and collaborate with ML and product teams to meet personalization requirements.
Compensation and benefits
The position offers an hourly rate of $55 to $67 (approximately $110,000 to $135,000 annually) with benefits including medical, dental, vision, hearing insurance, employee assistance, life and disability insurance, a retirement plan with 3% company match, employee recognition programs, and equipment provision.
Experience and skills
Candidates should have 5+ years of experience with data processing frameworks like Spark or Flink, real-time streaming pipelines, SQL, cloud platforms like AWS, ML workflow support, and programming skills in Python, Java, or Scala; preferred qualifications include experience with personalization systems, ML lifecycle tools, data validation, and startup environments.
Unique job features
The role is distinguished by its focus on real-time ML data infrastructure, collaboration with ML engineers, and involvement in cutting-edge data tooling and cloud-native services.
Company overview
Summit Group Solutions, LLC is a consulting firm specializing in IT staffing and solutions, providing services such as project management, software development, and business analysis. They generate revenue by offering tailored staffing solutions and IT consultancy to businesses seeking to enhance their technological capabilities. Founded with a focus on delivering exceptional client service, Summit Group Solutions has built a reputation for connecting skilled professionals with organizations in need of IT expertise. Their commitment to fostering long-term relationships with both clients and consultants is a cornerstone of their business model.
How to land this job
Position your resume to emphasize your expertise in designing and maintaining scalable batch and streaming data pipelines, highlighting experience with frameworks like Spark, Flink, or Kafka Streams to align with Summit Group Solutions' core technical needs.
Showcase your proficiency in building real-time feature stores, data validation, and monitoring systems that support ML workflows, demonstrating your ability to collaborate with ML engineers and product teams as described in the job.
Apply through multiple channels such as Summit Group Solutions' official corporate website and LinkedIn to maximize your visibility and chances of getting noticed for this Sr. Data Engineer role.
Connect with data engineering or machine learning professionals at Summit Group Solutions on LinkedIn, using ice breakers like commenting on recent company projects related to ML infrastructure or asking about their experience with real-time data pipelines to start meaningful conversations.
Optimize your resume for ATS by incorporating keywords from the job description such as 'real-time streaming data pipelines,' 'feature stores,' 'data validation,' 'Spark,' 'Kafka Streams,' and 'ML workflows' to ensure it passes automated screenings effectively.
Leverage Jennie Johnson's Power Apply feature to automate tailoring your resume, applying through multiple platforms, and identifying LinkedIn contacts to network with, allowing you to focus your energy on preparing for interviews and refining your skills.
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