Data Engineer

Boston Technology Corporation
Boston, MA, United States
2 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Airflow Amazon Web Services Information Engineering Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Operational Data Store Scrum Methodology Power BI Standard Sql Software Engineering
+8 more
SQL Stored Procedures Tableau (Software) Snowflake Informatica Cloud Information Technology Data Analytics Data Pipelines Control M

Job description

Data Engineer will help build a modern, cloud native data and analytics platform centered around technologies such as AWS, Snowflake, DBT, Snaplogic, and Python.

Requirements

A bachelor s or master s degree in computer science or a similar field 10 + years of data and software engineering experience including technical leadership Strong Python programming skills with a focus on data engineering and data pipeline development Expertise in ETL development using DBT, Snowflake, Snaplogic or similar tools Strong skills in data modeling, building operational data stores and data warehouses Excellent SQL skills, developing SQL stored procedures and functions Strong hands-on experience in designing, building and maintaining AWS native applications Hands-on experience with scheduling tools such as Airflow or Control-M Excellent communication and interpersonal skills. Experience working in an Agile environment utilizing agile methodologies (Kanban and SCRUM) is a plus Experience in data analytics building reports, dashboards, and visualizations with business intelligence tools such as Tableau or Power BI is a plus Experience working in the Asset management industry is a plus

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all