Data Engineer III AI, Automation, & Data Engineering

SilkRoad; Boston (MA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Time Off package

Retirement plan

Tuition Assistance

Job summary

Boston University IS&T is seeking a Data Engineer III to design and scale modern data pipelines, partnering with data architects, analysts, and application developers to deliver robust ETL workflows. You will optimize data quality and governance at scale, and contribute to CI/CD workflows and code reviews.

The role focuses on DAG-based pipelines with Dagster, DBT data models, and AWS-based batch/streaming ETL, deployed on Kubernetes.

Qualifications

• Bachelor's degree in CS/IS/Analytics or related field; 3+ years in data engineering.
• Master's degree preferred.
• Applicable experience accepted in lieu of degree.

Responsibilities

• Design and maintain scalable DAG-based data pipelines using Dagster.
• Build and optimize data models in PostgreSQL using DBT for analytical and operational use cases.
• Develop batch and streaming ETL processes leveraging AWS services (S3, Glue, Athena, SNS/SQS, Lambda).
• Deploy and manage containerized workloads on Kubernetes, using infrastructure-as-code.
• Define schemas, data contracts, and transformation logic with cross-functional teams.

Skills

Python

SQL

Dagster

Airflow

Kubernetes

Docker

Git

CI/CD

Data governance

Agile

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, or Business Analytics

Master's degree preferred

Applicable experience accepted in lieu of degree

Tools

Dagster

Airflow

DBT

PostgreSQL

SQL Server

Kubernetes

Docker

GitHub Actions

ArgoCD

AWS (S3, Glue, Athena)

Job description

Category

Job Location

Tracking Code

26501064371001

Posted Date

10/5/2026

Salary Grade

Grade 50

Expected Hiring Range Minimum

$120,000.00

Expected Hiring Range Maximum

$150,000.00

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Position Type

Full-Time/Regular

Boston University Information Services & Technology (IS&T) is seeking applicants with diverse skills and experiences to join our innovative and inclusive community. Join us as a Data Engineer III, helping advance the university's data and analytics capabilities by designing and scaling modern data pipelines and platforms. Your work will directly support institutional reporting, research, and strategic initiatives. You will work on modern data infrastructure using tools, collaborate with data architects, analysts, and application developers to design robust ETL workflows, optimize performance, and ensure data quality and governance at scale. The Data Engineering team within IS&T plays a critical role in enabling data-driven decision-making across Boston University. We develop and maintain data infrastructure that supports analytics, institutional research, academic planning, and operational efficiency. Our team partners closely with data consumers across the university to ensure the reliability, scalability, and quality of enterprise data assets. You Will Design and maintain scalable DAG-based data pipelines using Dagster. Build and optimize data models in PostgreSQL using DBT for analytical and operational use cases. Develop batch and streaming ETL processes leveraging AWS services (S3, Glue, Athena, SNS/SQS, Lambda). Deploy and manage containerized workloads on Kubernetes, using infrastructure-as-code. Implement robust data quality checks, observability, and automated validation. Define schemas, data contracts, and transformation logic with cross-functional teams. Contribute to CI/CD workflows (e.g., GitHub Actions, ArgoCD) to perform code reviews and document technical standards.

Required Skills

You Will Have:

• Degree in Computer Science, Information Systems, Data Analytics, or Business Analytics.
• Master's degree preferred.
• Applicable experience accepted in lieu of degree. 3+ years of experience in data engineering, data analytics, and backend software development across financial services and higher education contexts.
• Proficiency in Python (pandas, pyarrow, PowerShell) for data transformation and automation.
• Strong SQL skills with proven experience in PostgreSQL and SQL Server optimization.
• Hands-on experience with orchestration frameworks (Dagster, Airflow, SSIS).
• Experience with ETL/ELT pipelines, data warehousing, and dimensional modeling using Kimball techniques.
• Familiarity with AWS data lake components (S3, Glue, Athena) and containerized workflows (Kubernetes, Docker).
• Demonstrated experience with CI/CD pipelines, Git, and Agile team processes.
• Expertise in data governance, privacy, and compliance, having worked with financial institutions handling sensitive data.
• Experience implementing streaming and event-driven architectures (Advanced Queue Messaging Protocol, Kafka, RabbitMQ, Redis).
• Strong communication skills, with a proven track record of collaborating with technical and non-technical stakeholders, mentoring, and delivering training.

Boston University offers an excellent benefits package including:

• Time Off: In addition to PTO and leave policy, BU employees have a paid intersession break and 13 paid holidays.
• Retirement: University-funded retirement plan with full vesting after 2 years of eligible service.
• Tuition Assistance Program: Competitive tuition assistance program for yourself and family members.
• Check out https://www.bu.edu/wellness/ and https://www.bu.edu/hr/part-time-employee-perks/ for more information!

Boston University IS&T invests in our staff and their personal and professional growth. We promote staff learning including lunch and learn sessions, an extensive library of online courses, Fun Advisory Board (FAB) arranges a number of events throughout the year and opportunities to engage with peers at NERCOMP and EDUCAUSE events. If you require a reasonable accommodation in order to complete the employment application process, please contact the Equal Opportunity Office at 617-353-6474. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We, at IS&T, appreciate each individual's knowledge, experiences and insights which enhance who we are, and as our DEIA knowledge and practice grows, we will ensure that our Mission, Vision, & Practices remain equitable and welcoming to all.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.