Data Engineer

TechDigital Group; Framingham (MA); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer with extensive experience in Snowflake, Python, and Azure. This role involves implementing innovative data solutions to enhance customer engagement across various business functions. You will design and optimize data pipelines, ensuring data governance and quality while collaborating with cross-functional teams. The ideal candidate will have a strong background in data modeling and cloud data platforms, driving impactful insights and analytics. Join this dynamic team and contribute to shaping the future of data-driven decision-making in a collaborative environment.

Qualifications

• 7+ years of Data Engineering experience with expertise in Snowflake and Azure.
• Strong understanding of data modeling and ETL/ELT processes.

Responsibilities

• Implement data solutions across Marketing, Sales, and Customer Service using Snowflake and Azure.
• Design and optimize data pipelines for business intelligence and analytics.

Skills

Snowflake

Python

SQL

DBT

Azure

Education

Bachelor's degree in Computer Science

Master's degree in a related field

Tools

DBT

Snowflake

Azure

Job description

Must have skills: Snowflake, Python and SQL.

Key Responsibilities:

1. Implement data solutions across Marketing, Sales, and Customer Service, using technologies such as DBT, Snowflake, and Azure.
2. Design and optimize data pipelines that integrate various data sources (1st party, 3rd party, operational) to support business intelligence and advanced analytics.
3. Develop data models and data flows that enable personalized customer experiences and support omnichannel marketing and customer engagement.
4. Lead efforts to ensure data governance, data quality, and data security, adhering to compliance with regulations such as GDPR and CCPA.
5. Implement and maintain data warehousing solutions in Snowflake to handle large-scale data processing and analytics needs.
6. Optimize workflows using DBT to streamline data transformation and modeling processes.
7. Leverage Azure for cloud infrastructure, data storage, and real-time data analytics, while ensuring the architecture supports scalability and performance.
8. Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to ensure data architectures meet business needs.
9. Support both real-time and batch data integration, ensuring data is accessible for actionable insights and decision-making.
10. Continuously assess and integrate new data technologies and methodologies to enhance the organization's data capabilities.

Qualifications:

1. 7+ years of experience in Data Engineering, with specific expertise in DBT, Snowflake, and Azure.
2. Strong understanding of data modeling, ETL/ELT processes, and modern data architecture frameworks.
3. Experience designing scalable data architectures for personalization and customer analytics across marketing, sales, and customer service domains.
4. Expertise with cloud data platforms (Azure preferred) and Big Data technologies for large-scale data processing.
5. Hands-on experience with Python for data engineering tasks and scripting.
6. Proven track record of building and managing data pipelines and data warehousing solutions using Snowflake.
7. Familiarity with Customer Data Platforms (CDP), Master Data Management (MDM), and Customer 360 architectures.
8. Strong problem-solving skills and ability to work with cross-functional teams to translate business requirements into scalable data solutions.
9. Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree preferred.

Preferred:

1. Experience working with AI/ML models for customer analytics and personalization.
2. Knowledge of data privacy and compliance regulations (GDPR, CCPA).