Data Engineer / Data Analyst Associate - Business Transformation
Embark isn't your ordinary consulting firm. We’re committed to cultivating a workplace where everyone can thrive—where happiness is at the core of our success. Our team is dedicated to solving complex problems for finance, accounting, HR, and technology leaders with forward-thinking solutions and unparalleled hospitality.
About the role
This role will be instrumental in developing and maintaining scalable data infrastructures that are foundational for advanced analytics and data-driven decision-making. Working within Embark's Data & Analytics practice, this associate will support client engagements that span data strategy, integration, and reporting—often for clients with a strong finance and accounting orientation. This role is ideal for someone with a solid technical foundation in data architecture and engineering, who is eager to grow in a client-facing, consulting environment.
Responsibilities
- Assist in designing, building, and maintaining efficient and reliable data pipelines using tools such as Fivetran, Snowflake, Azure Data Factory, and Databricks
- Support the implementation of data management systems to meet business and technical requirements
- Work collaboratively with data engineers and analysts to optimize data collection, transformation, and processing
- Help build and maintain reports and dashboards (Power BI, Tableau) that translate raw data into client-facing insights, supporting the handoff from data engineering to business intelligence
- Contribute to the integration of new data management technologies and software engineering tools
- Help maintain data security and compliance according to industry standards
- Participate in troubleshooting and resolving issues in data pipelines
- Help evaluate and integrate new data management technologies, software tools, and AI-powered analytics and automation solutions to improve efficiency and insight generation
- Communicate effectively with client stakeholders—including finance and accounting teams—to understand requirements and translate them into technical solutions
- Support multiple client engagements simultaneously in a fast-paced, MVP-driven delivery model
Requirements
- Bachelor's degree in Data Analytics, Data Science, Computer Science, or a related program
- 0–2 years of relevant experience in a data engineering or analytics role; management consulting experience a plus
- Proficiency in SQL
- Experience with, or strong interest in, cloud data platforms such as Snowflake and Databricks
- Familiarity with Microsoft data & analytics tools (Azure Data Factory, Azure Synapse, SQL Server) a plus
- Experience with programming languages such as Python, Java, or Scala
- Exposure to BI/visualization tools (Power BI, Tableau) preferred
- Familiarity with or interest in AI/ML tools and their application to data analytics is a plus
- Interest in or exposure to ERP and finance systems (e.g., NetSuite) a plus
- Strong problem-solving abilities and a detail-oriented mindset
- Excellent communication skills, with comfort engaging directly with client stakeholders
- Ability to work effectively in a team and manage multiple priorities across engagements
Benefits
- Unlimited PTO to recharge and pursue your passions
- 100% paid premiums for medical, dental, and vision insurance for you and your family
- $150 monthly stipend for holistic development (whole human growth)
- Access to CPE credits, learning platforms, coaching, and professional development
- Up to 3% 401(k) matching and financial advisory services
- Monthly social events within your market, charitable matching, and a supportive team environment
- Fully paid parental leave for all new parents
- Monthly stipend for whole human wellness
- All the technology you’ll need to be successful, including advanced software and accessories
- Monthly team outings (e.g., axe throwing, trips to the State Fair, go-kart races)
Pay
Typical compensation range of $85,000–$95,000. We match 50% up to 6% on our 401(k).