Data Operations Engineer Job at Beacon Hill (Boston)

Is Data Center Operations Engineer

Bridging Information Technology (IT) and the Mechanical, Electrical, and Plumbin...

Location

United States , New Albany

Salary:

91731.00 - 114948.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree
Bachelor’s degree and 2 years of data center operations experience
Associate’s degree and 6 years of data center operations experience
High school diploma / GED and 8 years of data center operations experience
Hands-on experience with rack/stack, structured cabling, and IT hardware installation
Familiarity with Dell PowerEdge, Nutanix, NetApp, and Cisco platforms
Ability to interpret electrical and mechanical drawings (awareness-level competency)
Experience using monitoring, alerting, or automation systems (AI-enabled platforms preferred)
Solid understanding of IT operations concepts including hardware lifecycle management and disaster recovery
Ability to read and update documentation, diagrams, and cable records

Job Responsibility

Serve as the liaison between IT teams and facilities staff, ensuring flawless communication
Interpret electrical one-line diagrams, distribution drawings, and cooling schematics to support incident response and planning
Install, rack, cable, and support enterprise IT systems including Dell PowerEdge, Nutanix, NetApp, and Cisco technologies
Support day-to-day moves, adds, and changes (MACs) in building IDF and VDER environments
Perform fiber and copper patch cabling in data centers, IDFs, and VDER closets
Trace and troubleshoot cabling issues to restore connectivity
Monitor infrastructure, proactively detect issues, and bring up with urgency to appropriate teams
Apply AI-enabled monitoring and automation platforms to enhance data center operations
Maintain documentation of infrastructure layouts, procedures, and operational standards
Participate in capacity planning, disaster recovery drills, and continuous improvement initiatives

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible

Fulltime

Software Engineer (Data Engineering)

We are seeking a Software Engineer (Data Engineering) who can seamlessly integra...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

4+ years in Data Engineering and AI/ML roles
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Python, SQL, Bash, PySpark, Spark SQL, boto3, pandas
Apache Spark on EMR (driver/executor model, sizing, dynamic allocation)
Amazon S3 (Parquet) with lifecycle management to Glacier
AWS Glue Catalog and Crawlers
AWS Step Functions, AWS Lambda, Amazon EventBridge
CloudWatch Logs and Metrics, Kinesis Data Firehose (or Kafka/MSK)
Amazon Redshift and Redshift Spectrum
IAM (least privilege), Secrets Manager, SSM

Job Responsibility

Design, build, and maintain scalable ETL and ELT pipelines for large-scale data processing
Develop and optimize data architectures supporting analytics and ML workflows
Ensure data integrity, security, and compliance with organizational and industry standards
Collaborate with DevOps teams to deploy and monitor data pipelines in production environments
Build predictive and prescriptive models leveraging AI and ML techniques
Develop and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-learn
Perform feature engineering, statistical analysis, and data preprocessing
Continuously monitor and optimize models for accuracy and scalability
Integrate AI-driven insights into business processes and strategies
Serve as the technical liaison between NStarX and client teams

What we offer

Competitive salary and performance-based incentives
Opportunity to work on cutting-edge AI and ML projects
Exposure to global clients and international project delivery
Continuous learning and professional development opportunities
Competitive base + commission
Fast growth into leadership roles

Fulltime

Data Operations Engineer

BA Markets wants to professionalise and streamline its activities with regards t...

Location

Poland , Katowice

Salary:

Not provided

Vattenfall

Expiration Date

Until further notice

Requirements

Interest in understanding what the user needs with several years of hands-on experience as software developer with an interest in the responsibilities of a data engineer or vice versa
A proactive, communicative team player
Fluent in English
Deep understanding of Kafka architecture (brokers, topics, partitions, replication), and experience with Kafka Streams, Kafka Connect, and schema registry (e.g., Confluent)
Proficiency in designing and managing Kafka clusters (including monitoring and scaling)
Hands-on Experience building and maintaining real-time ETL pipelines
Familiarity with stream processing frameworks like: Apache Flink or Apache Spark Streaming
Strong skills in: Python and Java and at least basic Scala and at least solid SQL experience
Has build several CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions)
And used infrastructure as Code (IaC) tools like Terraform or Ansible

Job Responsibility

Stream deployment and stream architecture, developments and deployments
Automate workflows and orchestrate data pipelines
Implement CI/CD routines
Implement and monitor “system health” with observability tools and data quality checks
Support the development of Client Libraries so other applications can integrate streams in own application and services
Perform Python development
Perform “glue code” development that 95% of use cases can apply

What we offer

Good remuneration
Challenging and international work environment
Possibility to work with some of the best in the field
Working in interdisciplinary teams
Support from committed colleagues
Attractive employment conditions
Opportunities for personal and professional development

Fulltime

Software Engineer - Data Engineering

Akuna Capital is a leading proprietary trading firm specializing in options mark...

Location

United States , Chicago

Salary:

130000.00 USD / Year

AKUNA CAPITAL

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field
5+ years of professional experience developing software applications
Java/Scala experience required
Highly motivated and willing to take ownership of high-impact projects upon arrival
Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino
Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements
Must possess excellent communication, analytical, and problem-solving skills
Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary
Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects
The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role

Job Responsibility

Work within a growing Data Engineering division supporting the strategic role of data at Akuna
Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows
Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects
Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark
Mentor junior engineers in software and data engineering best practices
Produce clean, well-tested, and documented code with a clear design to support mission critical applications
Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data quality, data availability and data correctness
Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack

What we offer

Discretionary performance bonus
Comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits

Fulltime

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...

Location

United States

Salary:

110000.00 - 125000.00 USD / Year

Vaniam Group

Expiration Date

Until further notice

Requirements

5+ years of professional experience in data engineering, ETL, or related roles
Strong proficiency in Python and SQL for data engineering
Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
Practical understanding of Medallion architectures and layered data design
Familiarity with modern data stack tools, including: Spark or PySpark
Workflow orchestration (Airflow, dbt, or similar)
Testing and observability frameworks
Containers (Docker) and Git-based version control
Excellent communication skills, problem-solving mindset, and a collaborative approach

Job Responsibility

Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
Partner with product and innovation teams to build repeatable processes for onboarding new data streams
Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)

What we offer

100% remote environment with opportunities for local meet-ups
Positive, diverse, and supportive culture
Passionate about serving clients focused on Cancer and Blood diseases
Investment in you with opportunities for professional growth and personal development through Vaniam Group University
Health benefits – medical, dental, vision
Generous parental leave benefit
Focused on your financial future with a 401(k) Plan and company match
Work-Life Balance and Flexibility
Flexible Time Off policy for rest and relaxation
Volunteer Time Off for community involvement

Fulltime

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Principal Data Engineer

PointClickCare is searching for a Principal Data Engineer who will contribute to...

Location

United States

Salary:

183200.00 - 203500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Principal Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems
Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
Deep expertise in streaming and real-time data technologies, including frameworks such as Apache Kafka, Flink, and Spark Streaming
Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
Experience with Lakehouse architectures and related technologies, including Databricks, Azure ADLS Gen2, and Apache Hudi
Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and across the organization

Job Responsibility

Lead and guide the design and implementation of scalable streaming data pipelines
Engineer and optimize real-time data solutions using frameworks like Apache Kafka, Flink, Spark Streaming
Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
Drive adoption of best practices in data governance, observability, and performance tuning for streaming workloads
Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment
Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response
Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work

What we offer

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

Fulltime

Staff Data Engineer

We’re looking for a Staff Data Engineer to own the design, scalability, and reli...

Location

United States , San Jose

Salary:

150000.00 - 250000.00 USD / Year

Figure

Expiration Date

Until further notice

Requirements

Experience owning or architecting large-scale data platforms — ideally in EV, autonomous driving, or robotics fleet environments, where telemetry, sensor data, and system metrics are core to product decisions
Deep expertise in data engineering and architecture (data modeling, ETL orchestration, schema design, transformation frameworks)
Strong foundation in Python, SQL, and modern data stacks (dbt, Airflow, Kafka, Spark, BigQuery, ClickHouse, or Snowflake)
Experience building data quality, validation, and observability systems to detect regressions, schema drift, and missing data
Excellent communication skills — able to understand technical needs from domain experts (controls, perception, operations) and translate complex data patterns into clear, actionable insights for engineers and leadership
First-principles understanding of electrical and mechanical systems, including motors, actuators, encoders, and control loops

Job Responsibility

Architect and evolve Figure’s end-to-end platform data pipeline — from robot telemetry ingestion to warehouse transformation and visualization
Improve and maintain existing ETL/ELT pipelines for scalability, reliability, and observability
Detect and mitigate data regressions, schema drift, and missing data via validation and anomaly-detection frameworks
Identify and close gaps in data coverage, ensuring high-fidelity metrics coverage across releases and subsystems
Define the tech stack and architecture for the next generation of our data warehouse, transformation framework, and monitoring layer
Collaborate with robotics domain experts (controls, perception, Guardian, fall-prevention) to turn raw telemetry into structured metrics that drive engineering/business decisions
Partner with fleet management, operators, and leadership to design and communicate fleet-level KPIs, trends, and regressions in clear, actionable ways
Enable self-service access to clean, documented datasets for engineers
Develop tools and interfaces that make fleet data accessible and explorable for engineers without deep data backgrounds

Fulltime

Data Operations Engineer

Beacon Hill

Location:
United States , Boston

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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