Sr. Data Engineer

Service Express; Highland Heights, Northern (OH, KY); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Service Express is seeking a Senior Data Engineer to design and implement complex data pipelines, enabling data-driven decisions across teams. You will mentor junior engineers and ensure alignment with data warehouse and lakehouse architectures, using Spark, Python, SQL and C# within Azure Synapse.

The role emphasizes data quality, collaboration with analysts, and adherence to the full SDLC, while advancing ML/AI capabilities and maintaining strong data analytics foundations.

Qualifications

• 4+ years of Python development related to data engineering (spark, pandas, etc.).
• 4+ years of SQL related to data engineering.
• Experience in designing and implementing complex data pipelines ensuring data quality & consistency.
• Solid understanding of data warehouse and delta lake design concepts.
• Solid data analytics background.
• Solid understanding of the Software Development Life Cycle.

Responsibilities

• Implementing pipelines to move raw data in Azure Synapse using spark, python, SQL and C# in line with established architectural standards related to Data Warehouse and Data Lakehouse modeling standards.
• Developing machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML.
• Mentoring other members of the Data Engineering team, specifically those in a junior role
• Work closely with Data Analysts and Business Analysts to clarify their requirements and provide clear guidance on the execution process.
• Providing peer review support to work produced by others, confirming use of relevant coding standards.
• Demonstrate mastery of the Software Development Life Cycle.

Skills

Python development

SQL for data engineering

Data pipelines design

Data analytics

Software Development Life Cycle

Education

Bachelor's Degree or Certifications

Tools

Azure Synapse

Spark

Pandas

OpenAI

Azure ML

C#

Job description

Cleveland Headquarters Office
Highland Heights, OH 44143, USA

• Hybrid
• IT/IS
• Full-Time
• Requisition #: SRDAT006490

Description

The Senior Data Engineer is responsible for collecting, designing, and converting complex data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility is the ultimate goal, which enables our organization to utilize data for performance evaluation and optimization. As a Senior Data Engineer, one of your primary responsibilities is to guide and mentor junior Data Engineers to ensure they have the necessary skills and knowledge to perform their tasks effectively. This includes setting up guardrails and protocols that help the team achieve their goals efficiently while maintaining the quality of their work. Your role is crucial in ensuring the team's success, as you play a significant part in streamlining their workflow and maximizing their productivity.

What you’ll be doing:

• Implementing pipelines to move raw data in Azure Synapse using spark, python, SQL and C# in line with established architectural standards related to Data Warehouse and Data Lakehouse modeling standards.
• Developing machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML.
• Mentoring other members of the Data Engineering team, specifically those in a junior role
• Work closely with Data Analysts and Business Analysts to clarify their requirements and provide clear guidance on the execution process.
• Providing peer review support to work produced by others, confirming use of relevant coding standards.
• Demonstrate mastery of the Software Development Life Cycle.

What we’re looking for:

• 4+ years of experience in Python development related to data engineering (spark, pandas, etc.).
• 4+ years of experience in SQL related to data engineering.
• Experience in designing and implementing complex data pipelines ensuring data quality & consistency.
• Solid understanding of data warehouse and delta lake design concepts
• Solid data analytics background
• Solid understanding of the Software Development Life Cycle

Bonus Points:

• Familiarity with Machine Learning and AI
• Web Development is a plus.

Education:

• Bachelor’s Degree or Relevant Certifications & equivalent years of experience

Travel:

• <10%

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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