Senior Data Engineer

Moser Consulting-posted 1 day ago

$100,000 - $135,000/Yr

Full-time • Mid Level

Hybrid • Indianapolis, IN

51-100 employees

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We are seeking a highly skilled Data Engineer to lead complex data transformation initiatives, including the adoption and implementation of Microsoft Fabric. This role combines advanced technical expertise in SQL and Python development. Candidates must have capabilities to design, build, and optimize scalable analytical solutions through best-in-class data modeling practices, that deliver measurable business impact for our client engagements.

Design and architect end-to-end Microsoft Fabric solutions including data lakes, data warehouses, and real-time analytics platforms
Design, build, and troubleshoot data acquisition pipelines from diverse sources including SQL databases, APIs, Salesforce, Oracle, and Dynamics into Microsoft Fabric using Dataflows Gen2 and Azure Data Factory.
Implement Direct Lake connectivity and optimize semantic models for high-performance analytics and reporting.
Lead comprehensive data modeling initiatives including dimensional modeling, star/snowflake schemas, and data vault methodologies
Implement real-time streaming analytics solutions using Event Streams and KQL Database
Lead the development of complex SQL queries, stored procedures, and database optimization strategies
Build robust Python applications for data processing, automation, and analytics workflows
Implement data quality frameworks and monitoring solutions
Design and optimize data warehouse and data lake architectures with focus on scalable data models
Experience with Fabric Capacity Metrics app for performance monitoring and optimization.
Develop high-performance SQL code for data transformation and business logic implementation
Design sophisticated dimensional models leveraging star/snowflake schemas optimized for high-performance BI workloads across Power BI and Microsoft Fabric platforms
Implement dimensional modeling best practices including slowly changing dimensions (SCD) and fact table optimization
Create comprehensive data documentation, lineage tracking, and data model documentation
Lead technical discovery sessions to understand client data landscape and requirements
Collaborate with business stakeholders to translate requirements into technical solutions
Mentor junior data engineers and guide technical decision-making
Conduct code reviews and establish development best practices
Provide technical expertise during pre-sales activities and proposal development
Optimize database performance through indexing, partitioning, and query tuning
Implement data security and privacy controls in compliance with regulations (GDPR, HIPAA, SOX)
Establish CI/CD pipelines for data engineering workflows
Monitor and troubleshoot production data systems

5+ years of progressive experience in data engineering or analytics engineering roles with strong focus on cloud-native data architectures and data modeling
Hands-on experience with Microsoft Fabric and its components (Data Factory, OneLake, Lakehouse, Dataflows Gen2, Direct Lake, Notebooks, Power BI, KQL databases).
Advanced Python programming skills with expertise in data libraries (Pandas, NumPy, SQLAlchemy, PySpark, Snowflake Python Connector)
Expert-level proficiency in SQL with experience across multiple database platforms (SQL Server, MySQL, Snowflake, PostgreSQL)
Strong experience with cloud data platforms (Azure and AWS) and their integration with Snowflake
Proficiency with version control systems (Git) and collaborative development workflows
Experience with containerization technologies (Docker, Kubernetes)
Expert-level understanding of data modeling concepts including dimensional modeling, normalization, denormalization, and data vault methodology
Advanced knowledge of slowly changing dimensions (SCD Types 1-7) and their implementation patterns
Deep knowledge of Snowflake architecture, micro-partitions, clustering keys, and query optimization
Knowledge of data warehouse concepts and modern data architecture patterns including data mesh and lakehouse architectures
Experience with both relational and NoSQL databases
Understanding of data governance, lineage, and quality management principles
Strong problem-solving skills with ability to debug complex data issues
Experience with Agile/Scrum methodologies and project management practices
Excellent communication skills for technical and non-technical audiences
Ability to work independently and manage multiple client engagements simultaneously

Bachelor’s degree in Computer Science, Data Engineering, or related technical field
Cloud certifications (Microsoft Fabric Data Engineer, Azure Administration, Azure Solutions Architect)
Snowflake certifications (SnowPro Core, SnowPro Advanced Data Engineer)
Experience with additional programming languages (Scala, Java, R)
Experience with data visualization tools (Tableau, Power BI, Looker)
Background in specific industries (financial services, healthcare, retail, manufacturing)
Previous consulting experience

Training Opportunities: We believe in lifelong learning and provide numerous avenues for skill enhancement.
Fully Invested 401K Plan: We help secure your future with a fully invested 401K plan.
PPO and HDHP Medical Plans: Choose the health insurance program that best fits your needs.
Employer-Paid Dental and Vision Plans: We cover dental and vision plans, ensuring our employees have access to comprehensive health care.
Onsite Fitness Center: Stay fit and healthy with our state-of-the-art fitness center.
Wellness Program: We promote a healthy lifestyle with our wellness program.
Catered Lunches: Enjoy delicious catered lunches regularly.

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