About the role

Consultant, Data Engineer leading end-to-end data solutions and analytics. Collaborating with clients to improve data strategies and deliver actionable insights.

Responsibilities

Align: Work with leaders to define success and prioritize business problems that will lead to high business impact when solved.
Engage: Dig in with business leaders in business intelligence and technology to uncover core problems, leading with curiosity and humility to unearth issues related to data and how analytics is used.
Design: Lead clients through a collaborative process to design solutions underlying data issues including data warehouse architecture, real-time data delivery, and workflow automation
Execute: Manage engineering programs/projects with a hyper focus on delivery excellence – we dive into data analytics projects “with our sleeves rolled up.”
Sustain: Equip teams with an actionable plan for using data more effectively, resulting in deeper insights, data-informed decisions, and an elevated culture of applying analytics.
Client Resolution: Proficient at recognizing and diagnosing client problems
Relationship Building: Proactively cultivate and expand your professional network

5+ years of professional experience working in corporate settings, notably in data engineering or infrastructure engineering/development role;
2+ years consulting experience
Experience with data engineering tools that cover integration, ETL and validation; specific tools and methodologies will vary by client
Proficiency in building Azure cloud data platforms (Synapse, Fabric, Databricks, etc.)
Proficiency in applying network security and user access models to Azure data platforms
Proficiency in applying replication validation, error notification, and ETL optimization
Proficiency in writing SQL and working with relational databases (TSQL, MSSQL,, etc.)
Proficiency with at least one data science programming language (Python (preferred), R, PySpark, etc.)
Experience with Azure cloud data platform
Experience with Azure ETL tools (Azure Data Factory, LogicApps, Synapse, etc.)
Familiarity with reporting tools like Power BI or Tableau
Ability to communicate complex ideas effectively (verbal and written)
Ability to work both independently and in a collaborative team environment
Comfort handling ambiguity and managing multiple assignments
Ability to work effectively with people at all levels in an organization
Proven skills in the identification and resolution of client challenges
Demonstrated ability to effectively expand professional networks through strategic relationship building and engagement
Bachelor’s Degree preferred

meaningful time off and paid holidays
parental leave
401(k) including employer match
tuition reimbursement
broad range of health and welfare benefits including medical, dental, vision, life, long and short-term disability