Data Analytics Engineer

Akkodis; Newton (MA); On-site; USD 120,000 - 155,000; Full time

Benefits offered by this job

medical insurance

401K plan

commuter benefits

Job summary

Akkodis is seeking an Analytics Engineer who will play a crucial role in digital transformation. The ideal candidate will develop data models driving insights, collaborate with business teams, and ensure data accuracy through robust quality checks. They should have a strong technical background in SQL, Snowflake, and data engineering principles.

Located in Newton, MA, this onsite position offers a competitive salary range of $120,000 to $155,000 per year, plus a bonus, and comprehensive benefits including health coverage and 401K.

Qualifications

• 3+ years of experience in analytics engineering or data engineering.
• Strong hands-on experience with Snowflake and dbt required.
• Familiarity with orchestration tools is a plus.

Responsibilities

• Develop and optimize data pipelines using dbt and SQL.
• Design and maintain dimensional data models for BI reporting.
• Partner with data analysts to translate business needs into technical solutions.

Skills

SQL

Snowflake

data modeling

Python

dbt

Education

Bachelor's or Master's Degree in Engineering, Computer Science, or related field

Tools

Microsoft Fabric

Azure Data Factory

Airflow

Job description

We are looking for an Analytics Engineer who is eager to be an integral part of this digital transformation journey. You will design data models that drive portfolio-level insight, partner with business teams to turn raw data into trusted data products, and build the foundation behind emerging AI and automation tools. The ideal candidate is a results-oriented professional with a strong mix of technical depth, communication skills, and business acumen, with the ability to understand business concepts and translate them into valuable technical solutions.

The salary range for this role is $120,000 per year to 155,000 per year plus bonus.

Please note that this is an onsite role and candidates must reside in the Boston Mass area.

Responsibilities

• Develop and optimize data transformation pipelines and ELT workflows using dbt and SQL, turning raw ingested data into clean, reliable, business-ready datasets.
• Design and maintain dimensional data models that serve as the foundation for BI reporting, advanced analytics, and AI-driven data products.
• Partner closely with data analysts and business stakeholders across leasing, finance, and operations to understand business concepts and needs and translate into technical designs and solutions.
• Build and enforce data quality checks, validation rules, and testing frameworks to ensure data accuracy.
• Partner with AI Engineers to design the data foundations powering our AI initiatives, including the data layers behind RAG, document Q&A, and agentic systems.
• Design, build, and maintain scalable data ingestion pipelines from diverse source systems (APIs, databases, flat files, SaaS platforms, unstructured data).
• Manage data platforms and infrastructure, contributing to environment configuration, pipeline orchestration and monitoring, performance tuning, cost management, and operational reliability.
• Support data governance and security practices, including role-based access control and metadata management.
• Contribute to engineering best practices for the team, including version control (Git), CI/CD, and automated testing to help establish standards as the team grows.
• Identify and implement process improvements such as automating manual data workflows and reducing time-to-insight for business partners.

Requirements

• Bachelor\'s or Master\'s Degree in Engineering, Computer Science, Mathematics, or related field.
• 3+ years of experience in analytics engineering, data engineering, or closely related role.
• Strong hands-on experience with Snowflake and dbt is required. Familiarity with orchestration tools like Microsoft Fabric, Azure Data Factory, or Airflow is a plus.
• Strong proficiency in SQL and data modeling; proficiency in Python for data pipeline development and automation.
• Comfortable leveraging AI tools such as coding assistants and LLMs to accelerate development, automate repetitive tasks, and build more effective solutions.
• Experience designing and building data pipelines, transformation workflows, and dimensional models using modern data stack tools.
• Understanding of Lakehouse architecture, data warehousing concepts, and dimensional modeling patterns.
• Working knowledge of data governance fundamentals, including data quality, metadata, and lineage.
• Excellent communication skills and the ability to influence stakeholders across technical and non-technical teams.

Preferred Qualifications

• Experience with BI tools, particularly Power BI, including an understanding of how data models serve downstream reporting.
• Familiarity with generative AI concepts, LLM APIs (e.g., OpenAI, Anthropic), or emerging AI frameworks and tooling.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

The California Fair Chance Act

Los Angeles City Fair Chance Ordinance

Los Angeles County Fair Chance Ordinance for Employers