Sr. Data Engineer Job at Solomon Page (Boston)

Sr. Data Engineer

We are seeking a highly skilled Data Engineer with strong backend engineering ex...

Location

United States , Boston

Salary:

Not provided

Solomon Page

Expiration Date

Until further notice

Requirements

6+ years of experience in Data Engineering, Backend Engineering, or related roles
Strong hands-on experience with Python development
Extensive experience with PostgreSQL and advanced SQL optimization
Experience building and maintaining ETL/ELT pipelines and data integration workflows
Strong knowledge of data engineering concepts, data modeling, and data architecture
Experience working with Parquet file formats and large-scale datasets
Hands-on experience with AWS services including EKS, Lambda, and cloud-native architectures
Experience developing APIs and microservices using FastAPI or similar frameworks
Strong data testing, validation, troubleshooting, and performance tuning skills
Excellent organizational skills with the ability to manage timelines, priorities, and status reporting

Job Responsibility

Design, develop, optimize, and maintain scalable data pipelines and ETL/ELT workflows
Refactor and enhance existing data processing frameworks to improve performance and reliability
Perform extensive data validation, testing, and quality assurance across data platforms
Optimize SQL queries, database structures, and table performance within PostgreSQL environments
Implement and support backend services and APIs using Python and FastAPI
Develop and maintain data solutions leveraging AWS services including EKS and Lambda
Work with Parquet files and large-scale datasets to support analytics and reporting requirements
Improve overall data architecture, operational stability, and system performance
Maintain detailed task tracking, status reporting, and execution transparency through Excel-based project tracking
Proactively identify risks, communicate project status, and manage timelines effectively

What we offer

medical
dental
401(k)
direct deposit
commuter benefits

Sr. Data Engineer

The Senior Data Engineer supports enterprise data unification and analytics init...

Location

United States , Deerfield

Salary:

Not provided

Tier4 Group

Expiration Date

Until further notice

Requirements

Experience designing, developing, and supporting data pipelines (ETL/ELT) that integrate data from multiple systems
Strong SQL skills, including writing and optimizing complex queries, joins, and stored procedures in Microsoft SQL Server or comparable relational databases
Hands-on experience with Azure Synapse Analytics, Azure Data Factory, or similar cloud-based data warehousing and integration platforms
Experience working with large datasets in cloud or hybrid data environments
Working knowledge of data modeling concepts, including fact and dimension tables and schema design for analytics and reporting
Experience supporting business intelligence tools, particularly Microsoft Power BI, including datasets and dataflows
Ability to use scripting or programming languages such as SQL, Python, or PySpark for data transformation and automation
Approximately 3–5 years of professional experience in data engineering, analytics engineering, or a related role
Approximately 1–3 years of experience in data modeling or database design for analytics use cases
Undergraduate degree or equivalent experience in Computer Science, Information Systems, or a related field

Job Responsibility

Design, build, and maintain automated ETL/ELT data pipelines that ingest and transform data from Microsoft Dynamics 365 and legacy systems into an Azure Synapse data lake and enterprise data warehouse
Monitor, optimize, and support data pipeline performance to ensure reliable, timely data refreshes and efficient resource utilization
Implement data quality checks, validation rules, and cleansing processes to ensure data accuracy, consistency, and readiness for enterprise-wide analysis
Support data unification efforts by integrating data from multiple business units and systems without altering source system integrity
Contribute to the design and evolution of enterprise data models, including dimensional and star schemas, to support standardized reporting and unified business definitions
Define and maintain master data structures and relationships that enable analysis across both ERP and non-ERP data sources
Prepare curated and optimized datasets for business intelligence and analytics use cases, including Power BI dashboards and self-service reporting
Write and optimize SQL queries and develop new pipeline components to support reporting, analytics, and ad hoc data needs
Collaborate with business analysts, business intelligence developers, ERP specialists, and other stakeholders to translate reporting and analytics requirements into technical solutions
Apply data engineering and analytics best practices, including version control, documentation, code review, and performance tuning

Fulltime

Sr. Data Engineer

We are seeking an experienced candidate to drive our data engineering initiative...

Location

United States , Las Vegas

Salary:

80000.00 - 90000.00 USD / Year

Tech Mahindra

Expiration Date

June 30, 2026

Requirements

7-8+ years of hands-on experience in data engineering or related fields
Strong proficiency in: Apache Airflow (DAG development, workflow orchestration)
Snowflake
Advanced SQL (complex queries, performance tuning)
Apache Kafka (streaming, event-driven architectures)
API development and integration (REST/SOAP)
Proven experience leading technical teams (3+ years preferred)
Strong problem-solving and communication skills
Experience with Agile/Scrum methodologies
A Bachelor's or Higher Degree is the minimum entry required for the position

Job Responsibility

Lead and mentor a team of 5-6 data engineers, fostering technical growth and collaboration
Design and implement scalable data pipelines using Apache Airflow
Understanding of Snowflake architecture
Integrate and maintain real-time streaming applications using Apache Kafka / Spark Streaming
Build and integrate APIs across multiple systems and platforms
Drive technical decision-making and establish best practices
Ensure code quality through reviews and implementation

What we offer

Medical
Vision
Dental
Life
Disability insurance
Paid time off (including holidays, parental leave, and sick leave, as required by law)
Opportunity to lead impactful data initiatives
Collaborative and innovative work environment

Fulltime

Sr. Data Engineer

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States , Thousand Oaks

Salary:

138325.00 - 172744.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Clinical Informatics or related field and 2 years of experience in the job offered or in a Data Engineer – related occupation. The position requires 2 years of experience in the following: Manage and tune Hadoop, MapReduce, or Spark SQL
Build ETL pipelines to transfer data
Optimize database for usage
Manage data stewardship and governance
Configure cloud services to orchestrate, monitor, and run end-to-end data warehousing solutions
and Model data for translation, linking, and consumption from source to data warehouse.

Job Responsibility

Responsible for managing and optimizing the company's data infrastructure and architecture for Clinical Data Hub, including cloud-based distributed compute and storage
Design and implement data pipelines, develop data models, perform data integration, and ensure data quality and governance
Contributes to the effective storage, processing, and utilization of large-scale data sets
Work with Product Owner, Product Management, Agile Team, and Data Architects to plan and deliver prioritized Clinical Data Hub backlog items and optimize the technical environment
Ensure data requirements for applications, data scientists, and cross-functional use cases are met, and ensure high performance and reliability of the system
Provide insights and actionable solutions for business clients.

What we offer

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus
health and welfare plans
financial plans
work/life balance
career development opportunities
Retirement and Savings Plan

Fulltime

Sr. Data Engineer

We are looking for an accomplished Sr. Data Engineer to join a team building res...

Location

United States , Dallas

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical discipline
At least 7 years of experience in data engineering with a strong record of designing and supporting production data pipelines
Advanced hands-on knowledge of Kafka, Airflow, NiFi, Databricks, Spark, Hadoop, Flink, and Amazon S3
Proficiency in Python plus working ability in Scala or Java for automation, transformation, and data processing tasks
Solid SQL skills and experience working with both relational and NoSQL database technologies
Background supporting data engineering solutions in on-premises and Kubernetes-based environments
Understanding of data modeling, governance practices, and data quality controls
Strong analytical, troubleshooting, and communication skills
experience in hybrid or multi-cloud settings is preferred

Job Responsibility

Build and enhance robust data pipelines that support ingestion, transformation, and delivery using platforms such as Airflow, NiFi, Databricks, and Spark
Create streaming and event-driven data solutions with Kafka and Flink to enable timely processing of high-volume data flows
Architect and refine storage patterns across Hadoop and Amazon S3 with attention to scalability, performance, and cost control
Establish monitoring, validation, and governance practices that strengthen data quality, security, and operational reliability
Coordinate complex workflow orchestration across hybrid and multi-cloud environments, including enterprise data processing operations where needed
Work with structured and semi-structured file types such as Parquet and Avro to improve usability and interoperability across systems
Diagnose bottlenecks in distributed processing environments and implement improvements that increase efficiency and stability
Provide technical guidance to less experienced engineers and contribute to a strong engineering culture centered on quality and continuous improvement

What we offer

medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

Sr. Data Engineer

We are seeking an experienced Senior Data Engineer to be a core member of agile ...

Location

Egypt , Giza

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or related discipline
3+ years experience delivering data engineering solutions across complex multi-disciplinary projects
confident in collaborating and influencing across organisational, technical, and stakeholder boundaries
skilled in understanding business requirements and translating them into effective data solutions
strong analytical thinking, problem-solving capability, attention to detail, proactive improvement-focused mindset

Job Responsibility

Design, build, test, monitor, and maintain highly scalable and reusable data pipelines and ETL solutions across multiple platforms
Deliver end-to-end data management capabilities including data profiling, ingestion, transformation, storage, and usage
Establish, monitor, and report on data quality benchmarks with a strong focus on data accuracy, validation, and governance
Collaborate closely with data scientists, BI engineers, architecture, and TechOps teams to align data solutions with business and technical needs
Contribute to research, proof-of-concepts, and technical studies to evaluate emerging data technologies and inform platform roadmaps
Ensure high code quality through automated testing, production monitoring, alerting, defect tracking, and continuous improvement
Support the design and implementation of secure, resilient, and supportable data solutions including disaster recovery, encryption, and observability best practices
Establish and promote best-practice design and coding standards, providing technical mentoring and guidance to other engineers as needed

What we offer

Exposure to large-scale enterprise data platforms within a global organisation
Opportunities to influence data engineering standards, tooling, and architectural direction
Collaborative agile environment that values learning, innovation, and shared ownership
Chance to work with modern cloud, big data, and data governance technologies on impactful use cases

Fulltime

Sr. Data Engineer

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

Extensive SQL Skills
Proficiency in at least one scripting language, Python is required
Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures
8+ years professional experience as a data Engineer
BS in Computer Science
MS in Computer Science preferred
AI Literacy / AI growth mindset

Job Responsibility

Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
Build data pipelines that optimise on data quality and are resilient to poor quality data sources
Own the data mapping, business logic, transformations and data quality
Low level systems debugging, performance measurement & optimization on large production clusters
Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
Maintain and support existing platforms and evolve to newer technology stacks and architectures

What we offer

Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs

Fulltime

Sr. Data Engineer

Our vision is to enable profitable growth to Aramark’s Accounts by providing the...

Location

United States , Philadelphia

Salary:

Not provided

Aramark

Expiration Date

Until further notice

Requirements

A minimum of 7 years of software development experience in the data domain
Proven expertise in: Python
CI/CD
Advanced SQL
Cloud platforms (Azure/AWS)
Data modeling
ETL/ELT processes
Apache Spark and real-time streaming experience
Experience in high influence models guiding teams/groups of diverse professionals and managing operations in a distributed organization
BS/MS in Computer Science or equivalent experience

Job Responsibility

Design and implementation for high-performance data product components
Building robust data ingestion framework(s)
Synchronizing data across on-prem and cloud-native technologies
Developing scalable data/ML processing pipelines
Managing sprint tasks and deliverables
Implementing and enforcing data engineering best practices
Mentoring data engineers in best practices and professional development
Leading technical discussions and decision-making processes within the team
Contribute to the strategic direction of data engineering initiatives and projects

Fulltime

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