Data engineer jobs in Bedford, NH

Data Architect - HR Data & Analytics Boston, MA 3-4 days onsite a week Pay Rate: $125/Hr The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support global HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, governed data solutions built on Snowflake and integrated with Workday and other HR systems. The ideal candidate will combine deep technical expertise with a strong understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization. Key Responsibilities: Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Required Experience & Skills: Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Experience with Python for data engineering, automation, or orchestration tasks. Exposure to Data Warehousing solutions leveraging data from Workday or other HRIS such as SuccessFactors, etc. to support advanced reporting and insights for an organization

Hi, this is Eric 👋 We're hiring a stellar Data Engineer to join our engineering org at Basil Systems. At Basil Systems, we're revolutionizing healthcare data access and insights for the life sciences industry. We've built powerful platforms that help pharmaceutical and medical device companies navigate complex regulatory landscapes, accelerate product development, and ultimately bring life-saving innovations to market faster. Our SaaS platforms transform disconnected data sources into actionable intelligence, empowering organizations to make data-driven decisions that improve patient outcomes and save lives. The Role We are seeking a Senior Data Engineer to own and advance the data infrastructure that powers our healthcare insights platform. As our engineering team scales and we expand our data capabilities, we need someone who can build reliable, scalable pipelines while ensuring data quality across increasingly complex regulatory sources. Key Responsibilities Design, build, and maintain robust ETL processes for healthcare regulatory data Integrate new data sources as we onboard customers and expand platform capabilities Optimize pipeline performance and reliability Ensure data accuracy and consistency across complex transformation workflows Qualifications 5+ years of professional experience as a data engineer or in a similar role Experience with Apache Spark and distributed computing Familiarity with common ML algorithms and their applications Knowledge of or willingness to learn and work with Generative AI technologies Experience with developing for distributed cloud platforms Experience with MongoDB / ElasticSearch and technologies like BigQuery Strong commitment to engineering best practices Nice-to-Haves Solid understanding of modern security practices, especially in healthcare data contexts Subject matter expertise in LifeSciences / Pharma / MedTech This role might not be for you if... You're a heavy process advocate and want enterprise-grade Scrum or rigid methodologies You have a need for perfect clarity before taking action You have a big company mindset What We Offer Competitive salary Health and vision benefits Attractive equity package Flexible work environment (remote-friendly) Opportunity to work on impactful projects that are helping bring life-saving medical products to market Be part of a mission-driven team solving real healthcare challenges at a critical scaling point Our Culture At Basil Systems, we value flexibility and support a distributed team. We actively employ and support remote team members across different geographies, allowing you to work when, where, and how you work best. We are committed to building a diverse, inclusive, and safe work environment for everyone. Our team is passionate about using technology to make a meaningful difference in healthcare. How to Apply If you're excited about this opportunity and believe you'd be a great fit for our team, please send your resume and a brief introduction to *****************************. Basil Systems is an equal opportunity employer. We welcome applicants of all backgrounds and experiences.

Job Title: Junior Data Engineer W2 candidates only We are on the lookout for engineers who are open to upskill to the exciting world of Data Engineering. This opportunity is for our client, a top tier insurance company and includes a 2-3 week online pre-employment training program (15 hours per week), conveniently scheduled after business hours. Participants who successfully complete the program will receive a $500 stipend. This is a fantastic chance to gain in demand skills, hands-on experience, and a pathway into a dynamic tech role.. Key Responsibilities: • Assist in the design and development of big data solutions using technologies such as Spark, Scala, AWS Glue, Lambda, SNS/SQS, and CloudWatch. • Develop applications primarily in Scala and Python with guidance from senior team members. • Write and optimize SQL queries, preferably with Redshift; experience with Snowflake is a plus. • Work on ETL/ELT processes and frameworks to ensure smooth data integration. • Participate in development tasks, including configuration, writing unit test cases, and testing support. • Help identify and troubleshoot defects and assist in root cause analysis during testing. • Support performance testing and production environment troubleshooting. • Collaborate with the team on best practices, including Git version control and CI/CD deployment processes. • Continuously learn and grow your skills in big data technologies and cloud platforms. Prerequisites: • Recent graduate with a degree in Computer Science, Information Technology, Engineering, or related fields. • Basic experience or coursework in Scala, Python, or other programming languages. • Familiarity with SQL and database concepts. • Understanding of ETL/ELT concepts is preferred. • Exposure to AWS cloud services (Glue, Lambda, SNS/SQS) is a plus but not mandatory. • Strong problem-solving skills and eagerness to learn. • Good communication and teamwork abilities. Selection Process & Training: • Online assessment and technical interview by Quintrix. • Client Interview(s). • 2-3 weeks of pre-employment online instructor-led training. Stipend paid during Training: • $500. Benefits: • 2 weeks of Paid Vacation. • Health Insurance including Vision and Dental. • Employee Assistance Program. • Dependent Care FSA. • Commuter Benefits. • Voluntary Life Insurance. • Relocation Reimbursement. Who is Quintrix? Quintrix is on a mission to help individuals develop their technology talent. We have helped hundreds of candidate's kick start their careers in tech. You will be “paid-to-learn”, qualifying you for a high paying tech job with one of our top employers. To learn more about our candidate experience go to *************************************

This role is with a Maris Financial Services Partner Boston, MA - Hybrid Role - We are targeting local candidates that can be in the Boston office 3 days per week. 12 Month + contract (or contract to hire, if desired) This team oversees critical systems including Snowflake, Tableau, and RDBMS technologies like SQL Server and Postgres. This role will focus on automating database deployments and creating efficient patterns and practices that enhance our data processing capabilities. Key Responsibilities: Design, enhance, and manage DataOps tools and services to support cloud initiatives. Develop and maintain scheduled workflows using Airflow. Create containerized applications for deployment with ECS, Fargate, and EKS. Build data pipelines to extract, transform, and load (ETL) data from various sources into Apache Kafka, ultimately feeding into Snowflake. Provide consultation for infrastructure projects to ensure alignment with technical architecture and end-user needs. Qualifications: Familiarity with Continuous Integration and Continuous Deployment (CI/CD) practices and tools. Understanding of application stack architectures (e.g., microservices), PaaS development, and AWS environments. Proficiency in scripting languages such as Bash. Experience with Python, Go, or C#. Hands-on experience with Terraform or other Infrastructure as Code (IaC) tools, such as CloudFormation. Preferred experience with Apache Kafka and Flink. Proven experience working with Kubernetes. Strong knowledge of Linux and Docker environments. Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Ability to manage multiple tasks and projects concurrently. Expertise with SQL Server, Postgres, and Snowflake. In-depth experience with ETL/ELT processes.

Ness is a full lifecycle digital engineering firm offering digital advisory through scaled engineering services. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. As your tech partner, we help engineer your company's future with cloud and data. For more information, visit ************ Data Engineer (HR Data warehousing exp) Boston, MA (3-4 days onsite a week) Key Responsibilities: Translate business needs into data modeling strategies and implement Snowflake data models to support HR analytics, KPIs, and reporting. Design, build, and maintain Snowflake objects including tables, views, and stored procedures. Develop and execute SQL or Python transformations, data mappings, cleansing, validation, and conversion processes. Establish and enforce data governance standards to ensure consistency, quality, and completeness of data assets. Manage technical metadata and documentation for data warehousing and migration efforts. Optimize performance of data transformation pipelines and monitor integration performance. Design, configure, and optimize integrations between Workday and third-party applications. Participate in system testing including unit, integration, and regression phases. Support data analysis needs throughout the implementation lifecycle. Required Experience & Skills: Experience with Snowflake or similar data warehouse platforms Strong SQL skills and experience with data transformation tools Experience with ETL processes and data validation techniques Understanding of HR data structures and relationships Excellent analytical and problem-solving abilities Experience with developing with Python Architecting a data warehousing solution leveraging data from Workday or other HRIS such as Workday to support advanced reporting and insights for an organization Preferred Experience & Skills: Experience in developing and supporting a data warehouse serving the HR domain Experience with data platforms where SCD Type 2 was required Experience with data visualization tools such as Tableau Experience with architecting or working with ELT technologies (such as DBT) and data architectures Understanding of HR processes, compliance requirements, and industry best practices Ness is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law

hackajob has partnered with Simply Business in its digital solutions and leverages extensive industry data to drive impactful results. Role: Data Analyst / Analytics Engineer Mission: You'll be part of the global Data and Analytics (DNA) team at Simply Business, helping drive data-driven decision making across the organization. Your mission will be to provide high-impact analytical support to business stakeholders, measure and evaluate product value streams, and ensure product investments deliver maximum value. As a trusted advisor, you'll translate business needs into actionable insights that improve operational efficiency and customer conversion. Location: US-based (Hybrid / details 8 days/month) Salary: Up to 99K USD Work authorization: This role requires you to be authorized to work in the United States without sponsorship. Qualifications (3+ years of experience): Experience in data & analytics, with a preference for operational analytics Experience working with cloud data warehouses (Snowflake or similar) Strong SQL skills and experience designing data models (dbt is a plus) Experience integrating new data sources and working with ETL pipelines Strong data visualization and storytelling skills using BI tools such as Looker, Tableau, or Power BI Ability to partner with product, engineering, and business teams to translate use cases into analytical solutions Excellent communication skills, especially when presenting insights to non-technical stakeholders Comfortable working as a self-starter in a globally distributed team Benefits: Opportunity to work on strategic, high-impact analytics initiatives Exposure to global stakeholders across product, engineering, and business teams Ongoing investment in modern data platforms and BI capabilities Career growth within a mature and expanding Data & Analytics function About hackajob: hackajob is a recruitment platform that matches you with relevant roles based on your preferences. To be matched with roles like this one, you'll need to create an account with us. This role requires you to be based in the US.

Immediate need for a talented Senior Data Engineer. This is a 12 months contract opportunity with long-term potential and is located in Westlake, TX/Merrimack, NH(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:25-93826 Pay Range: $60 - $65/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key Skills; ETL, SQL, PL/SQL, Informatica, Snowflake, Data modeling, DevOps . 7 years of experience in developing quality data solution Software development experience in the Financial Industry Expertise in Oracle PL/SQL development, SQL Scripting, and database performance tuning. Intermediate experience in Java development is preferred Solid understanding of ETL tools like Informatica and Data Warehousing like Snowflake. You enjoy learning new technologies, analyzing data, identifying gaps, issues, patterns, and building solutions You can independently analyze technical challenges, identify, assess impact, and identify innovative solutions Strong data modeling skills using Quantitative and Multidimensional Analysis Demonstrate understanding of data design concepts - Transactional, Data Mart, Data Warehouse, etc. Beginner proficiency of in Python, REST API and AWS is a plus You are passionate about delivering high-quality software using DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Git, Docker) practices! Experience developing software using Agile methodologies (Kanban and SCRUM) Strong analytical and problem-solving skills Excellent written and oral communication skills Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

first PRO is now accepting resumes for a Senior Data Engineer role in Boston, MA. This is a direct hire role and onsite 2-3 days per week. RESPONSIBILITIES INCLUDE Support and enhance the firm's Data Governance, BI platforms, and data stores. Administer and extend data governance tools including Atlan, Monte Carlo, Snowflake, and Power BI. Develop production-quality code and data solutions supporting key business initiatives. Conduct architecture and code reviews to ensure security, scalability, and quality across deliverables. Collaborate with the cloud migration, information security, and business analysis teams to design and deploy new applications and migrate existing systems to the cloud. TECHNOLOGY EXPERIENCE Hands-on experience supporting SaaS, business-facing applications. Expertise in Python for data processing, automation, and production-grade development. Strong knowledge of SQL, data modeling, and data warehouse design (Kimball/star schema preferred). Experience with Power BI or similar BI/reporting tools. Familiarity with data pipeline technologies and orchestration tools (e.g., Airflow, dbt). Experience with Snowflake, Redshift, BigQuery, or Athena. Understanding of data governance, data quality, and metadata management frameworks. QUALIFICATIONSBS or MS in Computer Science, Engineering, or a related technical field. 7+ years of professional software or data engineering experience. Strong foundation in software design and architectural patterns.

Job Title: Sr. Data Architect- HR Data & Analytics Duration: 6 - 12+ Months Notes : Snowflake,ETL/ELT, HRIS, SQL, Python. The Data Architect will play a key role in designing and implementing the enterprise HR data architecture to support HR analytics, KPIs, and reporting initiatives. This role involves translating complex business requirements into scalable, governed data solutions built on Snowflake and integrated with Workday and other HR systems. The ideal candidate will combine deep technical expertise with a strong understanding of HR data domains, ensuring data integrity, accessibility, and analytical value across the organization. Key Responsibilities Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Required Experience & Skills Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Demonstrated experience working with HR data structures, Workday, or other HRIS systems. Strong analytical mindset and problem-solving ability, with attention to data integrity and business context. Experience with Python for data engineering, automation, or orchestration tasks. Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting. Preferred Experience & Skills Experience building and supporting data warehouses specifically for HR and People Analytics domains. Hands-on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI. Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross-functional collaboration between HR, Finance, and Technology teams.

The Wissen team continues to expand its footprint in the Canada & USA. More openings to come as we continue to grow the team! Please read below for a brilliant career opportunity. Role: Data Modelling Architect Title: Vice President Location: Boston, MA (Day 1 Onsite/Hybrid) Mode of Work: 3 days per week onsite required Required experience: 10+ Years Job Description We are looking for an experienced Data Modelling Architect to design and optimize enterprise data models supporting risk, regulatory, and financial domains. The role requires strong expertise in conceptual, logical, and physical data modelling, along with working knowledge of Financial Risk or Operational Risk frameworks used in global banking environments. Required Skills 10-12 years of strong experience in data modelling and data architecture. Expertise in ER modelling, dimensional modelling, and industry-standard modelling methodologies. Hands-on experience with tools like Erwin, ER/Studio. Strong SQL and experience with relational databases and distributed/cloud data platforms. Working knowledge of Financial Risk, Operational Risk, or regulatory risk data (Credit Risk, Market Risk, Liquidity Risk, RCSA, Loss Events, KRI, etc.). Experience supporting regulatory frameworks such as Basel II/III, CCAR, ICAAP, or similar. Ability to work with cross-functional teams across global locations. Excellent communication and documentation skills. Benefits: Healthcare insurance for you and your family (medical, dental, vision). Short / Long term disability insurance. Life Insurance. Accidental death & disability Insurance. 401K. 3 weeks of Paid Time Off. Support and fee coverage for immigration needs. Remote office set up stipend. Support for industry certifications. Additional cash incentives. Re-skilling opportunities to transition between technologies. Schedule: Monday to Friday Work Mode: Hybrid Job Type: Full-time We are: A high end technical consulting firm built and run by highly qualified technologists. Our workforce consists of 5000+ highly skilled professionals, with leadership from Wharton, MIT, IITs, IIMs, and NITs and decades of experience at Goldman Sachs, Morgan Stanley, MSCI, Deutsche Bank, Credit Suisse, Verizon, British Telecom, ISRO etc. Without any external funding or investments, Wissen Technology has grown its revenues by 100% every other year since it started as a subsidiary of Wissen Group in 2015. We have a global presence with offices in the US, India, UK, Australia, Mexico, and Canada. You are: A true tech or domain ninja. Or both. Comfortable working in a quickly growing profitable startup, have a “can do” attitude and are willing to take on any task thrown your way. You will: Develop and promote the company's culture of engineering excellence. Define, develop and deliver solutions at a top tier investment bank or another esteemed client. Perform other duties as needed Your Education and Experience: We value candidates who can execute on our vision and help us build an industry-leading organization. Graduate-level degree in computer science, engineering, or related technical field Wissen embraces diversity and is an equal opportunity employer. We are committed to building a team that represents a variety of backgrounds, skills, and abilities. We believe that the more inclusive our team is, the better our work will be. All qualified applicants, including but not limited to LGBTQ+, Minorities, Females, the Disabled, and Veterans, are encouraged to apply. About Wissen Technology: The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for diverse industries, including Banking, E-commerce, Telecom, Healthcare, Manufacturing, and Energy. We help clients build world-class products. We have offices in the US, India (Bangalore, Hyderabad, Chennai, Gurugram, Mumbai, Pune), UK, Australia, Mexico, Vietnam, and Canada. We empower businesses with a dynamic portfolio of services and accelerators tailored to today's digital demands and based on future ready technology stack. Our services include Industry Leading Custom Software Development, AI-Driven Software Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights, Interactive Data Visualization & Decision Intelligence, Intelligent Process Automation, Multi-Cloud & Hybrid Cloud Strategies, Cross-Platform Mobile Experiences, CI/CD-Powered Agile DevOps, Automated Quality Engineering, and cutting-edge integrations. Certified as a Great Place to Work for five consecutive years (2020-2025) and recognized as a Top 20 AI/ML vendor by CIO Insider, Wissen Group has delivered multimillion-dollar projects for over 20 Fortune 500 companies. Wissen Technology delivers exceptional value on mission-critical projects through thought leadership, ownership, and reliable, high-quality, on-time delivery. Our industry-leading technical expertise stem from the talented professionals we attract. Committed to fostering their growth and providing top-tier career opportunities, Wissen ensures an outstanding experience and value for our clients and employees. We Value: Perfection: Pursuit of excellence through continuous improvement. Curiosity: Fostering continuous learning and exploration. Respect: Valuing diversity and mutual respect. Integrity: Commitment to ethical conduct and transparency. Transparency: Open communication and trust. Website: ************** Glassdoor Reviews: ************************************************************* Wissen Thought leadership: https://**************/articles/ Latest in Wissen in CIO Insider: ********************************************************************************************************************** Employee Speak: *************************************************************** LinkedIn: ************************************************** About Wissen Interview Process: https://**************/blog/we-work-on-highly-complex-technology-projects-here-is-how-it-changes-whom-we-hire/ Wissen: A Great Place to Work https://**************/blog/wissen-is-a-great-place-to-work-says-the-great-place-to-work-r-institute-india https://**************/blog/here-is-what-ownership-and-commitment-mean-to-wissenites/ Wissen | Driving Digital Transformation A technology consultancy that drives digital innovation by connecting strategy and execution, helping global clients to strengthen their core technology. Job Type: Full-time Work Location: In person

Key Responsibilities: Architect & Model: Design and implement scalable, efficient Snowflake data models to support HR analytics, workforce planning, and KPI reporting. Data Integration: Develop and optimize integrations between Workday, Snowflake, and downstream analytics platforms; ensure seamless, accurate data flow across systems. Governance & Quality: Define and enforce data governance, quality, and metadata management standards to ensure data consistency and compliance. Documentation & Metadata: Maintain comprehensive technical documentation and data dictionaries for warehouse structures, transformations, and integrations. Performance Optimization: Monitor and tune ETL/ELT pipelines, ensuring high-performance data transformation and loading processes. Collaboration: Partner with HR, Data Engineering, and Analytics teams to translate business logic into reusable and governed data assets. Testing & Validation: Participate in unit, integration, and regression testing to validate data pipelines and ensure data accuracy. Lifecycle Support: Support data analysis and troubleshooting across the full implementation and operational lifecycle of HR data solutions. Required Experience & Skills: Proven experience architecting and implementing solutions on Snowflake or similar cloud data warehouse platforms. Advanced SQL skills and hands-on experience with data transformation and pipeline optimization tools. Strong understanding of ETL/ELT frameworks, data validation, and reconciliation techniques. Demonstrated experience working with HR data structures, Workday, or other HRIS systems. Strong analytical mindset and problem-solving ability, with attention to data integrity and business context. Experience with Python for data engineering, automation, or orchestration tasks. Track record of designing data warehouses or analytical platforms leveraging HR data to drive insights and advanced reporting. Preferred Experience & Skills: Experience building and supporting data warehouses specifically for HR and People Analytics domains. Hands-on experience with Slowly Changing Dimensions (SCD Type 2) and historical data management. Proficiency with data visualization tools such as Tableau or Power BI. Experience with ELT frameworks (e.g., dbt) and modern data architecture patterns (e.g., Data Vault, Medallion Architecture). Familiarity with HR processes, compliance standards, and industry best practices related to HR data management and reporting. Experience working in an enterprise environment with cross-functional collaboration between HR, Finance, and Technology teams.

Are you looking for a chance to lead a project and make a mark, building a company's data system? What's in it for you? Chance to build a primary data repository from scratch to transfer the company data into one location. A chance to take ownership of data modelling, data architecture and data reporting Hybrid schedule (2 days remote) Good job security at a stable company Responsibilities Build a data platform pulling from rich data sets, where data is easy to visualise, query and access Create dashboards and reports of data Led the logical and physical modelling of data Someone who can take ownership of the company's data architecture and wear many hats Must-Have Proficiency with Power BI Proficiency with SQL Proficiency with Snowflake or similar database systems Experience with ETL Tools such as Informatica Experience in Data Architecture Experience in Data reporting Experience with Data Modelling Experience with Cloud Architecture or Data Cloud Platforms (Azure/AWS/GCP) Nice to have Background in owning the data architecture and transformation for a small company Experience with predictive modelling Click the button below to apply!

Work schedule: Hybrid Key Responsibilities: Performance Tuning: Monitor and optimize performance, including query performance, resource utilization, and storage management. User and Access Management: Manage user access, roles, and permissions to ensure data security and compliance with organizational policies. Data Integration: Support and manage data integration processes, including data loading, transformation, and extraction. Troubleshooting and Support: Provide technical support and troubleshooting for Snowflake-related issues, including resolving performance bottlenecks and query optimization. Documentation and Reporting: Maintain detailed documentation of system configurations, procedures, and changes. Generate and deliver regular reports on system performance and usage. Collaboration: Work closely with data engineers, analysts, and other IT professionals to ensure seamless integration and optimal performance of the Snowflake environment. Best Practices: Stay up to date with Snowflake best practices and industry trends. Recommend and implement improvements and upgrades to enhance system functionality and performance. Qualifications and Experience: 5+ years of experience in data architecture, data engineering, or database development. 2+ years of hands-on experience with Snowflake, including data modeling, performance tuning, and security. At a minimum Bachelor's degree in Computer Science, Information Technology, or related field. Experience with source control tools (GitHub preferred), ETL/ELT tools and cloud platforms (AWS preferred). Experience or exposure to AI tools. Deep understanding of data warehousing concepts, dimensional modeling, and analytics. Excellent problem-solving and communication skills. Experience integrating Snowflake with BI and reporting tools is a plus Required Skills: Strong proficiency in Snowflake architecture, features, and capabilities. Knowledge of SQL and Snowflake-specific query optimization. Experience with ETL tools and data integration processes. Strong proficiency in SQL and Python. Strong Database design and data modelling experience. Experience with data modeling tools. Ability to identify and drive continuous improvements. Strong problem solving and analytical skills. Demonstrated process-oriented and strategic thinking skills. Strong motivation and a desire to continuously learn and grow. Knowledge of Snowflake security features including access control, authentication, authorization, encryption, masking, secure view, etc. Experience working in AWS cloud environments. Experience working with Power BI and other BI, data visualization, and reporting tools. Business requirement gathering and aligning to solutions delivery. Experience with data integration solutions and tools, data pipelines, and modern ways of automating data using cloud based and on-premises technologies. Experience integrating Snowflake with an identity and access management program such as Azure IDP is a plus. Experience with other relational database management systems, cloud data warehouses and big data platforms is a plus. Analytical Skills: Excellent problem-solving and analytical skills with strong attention to detail. Communication: Effective communication skills, both written and verbal, with the ability to convey complex technical information to non-technical stakeholders. Teamwork: Ability to work independently and collaboratively in a fast-paced environment. Preferred Skills: Snowflake certification (e.g., SnowPro Core or Advanced Certification).

📣 Platform Engineer - Travel SaaS A fast-scaling SaaS company in the travel tech space is hiring a Platform Engineer to help build and scale their global infrastructure. This is a high-impact role in a product-led, engineering-driven environment. The company operates a modern, multi-service architecture on AWS and needs someone who can take ownership of platform reliability, CI/CD tooling, and infrastructure as code. 💻 The role: Design, build and maintain secure, scalable AWS infrastructure (EC2, S3, RDS, IAM, etc.) Champion Infrastructure as Code using Terraform or Pulumi Manage containerised deployments with Docker and ECS or Kubernetes Improve and maintain CI/CD pipelines (GitHub Actions, CircleCI, etc.) Collaborate closely with engineering, SRE and security teams Take part in on-call and incident response as part of a “you build it, you run it” culture 🧠 What they're looking for: 3+ years' hands-on experience with AWS Strong background in infrastructure as code Solid understanding of containerisation and orchestration Comfortable with scripting (Python, Go or Bash) Experience with observability tools (Datadog, CloudWatch, etc.) Excellent debugging and troubleshooting skills 🎁 Nice-to-haves: Exposure to Windows/.NET, serverless architectures or compliance frameworks (e.g. SOC2) 🌍 Why join: Compensation: $130-150K base + equity Culture: Low-ego, high-ownership team with a strong engineering voice Hybrid setup: ~3 days per week in office in Boston Mission: Helping businesses travel smarter - at global scale

The Alexander Technology Group is looking for a junior devops engineer for a client in the Woburn, MA area. Hybrid on-site No 3rd party applicants will be considered, do not reach out 85-90k Requirements: Key Responsibilities: Support Cloud Infrastructure: Assist in managing AWS infrastructure including VPCs, ECS/EKS clusters, RDS databases, and serverless components under the guidance of senior engineers. Maintain CI/CD Pipelines: Help maintain and improve deployment pipelines using GitLab CI or GitHub Actions, ensuring smooth software delivery. Monitor System Health: Set up and monitor alerting systems using CloudWatch, Grafana, or Prometheus, and respond to incidents with support from the team. Security and Compliance: Support SOC 2 Type II compliance efforts by implementing security controls and following established protocols. Infrastructure as Code: Gain experience with Terraform and other IaC tools to automate infrastructure provisioning and management. If interested, please send resume to ************************

We're looking for a Senior DevOps Tools Engineer to help modernize and elevate our development ecosystem. If you're passionate about improving how software teams build, test, secure, and deliver high-quality code-this role is built for you. This is not a traditional infrastructure-heavy DevOps role. It's a developer-enablement, tooling modernization, and process transformation position with real influence. 🔧 Role Overview You will lead initiatives that reshape how engineering teams work-modernizing tooling, redesigning source control practices, improving CI/CD workflows, and championing DevEx across the organization. This role combines hands-on engineering with strategic process design. ⭐ Key Responsibilities Drive modernization of development tools and processes, including SVN → Git migration and workflow redesign. Own and enhance CI/CD pipelines to improve reliability, automation, and performance. Implement modern DevOps + DevSecOps practices (SAST, DAST, code scanning, dependency checks, etc.). Automate build, packaging, testing, and release processes. Advocate for and improve Developer Experience (DevEx) by reducing friction and enabling efficiency. Collaborate across engineering teams to define standards for source control, branching, packaging, and release workflows. Guide teams through modernization initiatives and influence technical direction. 🎯 Must-Have Qualifications Strong experience with CI/CD pipelines, developer tooling, and automation. Hands-on expertise with Git + Git-based platforms (GitLab, GitHub, Bitbucket). Experience modernizing tooling or migrating from legacy systems (SVN → Git is a big plus). Solid understanding of DevOps / DevSecOps workflows: automation, builds, packaging, security integration. Proficient in scripting/programming for automation (Python, Bash, PowerShell, Groovy, etc.). Excellent communication skills and ability to guide teams through change. 🏙️ Work Model This is a full-time, hybrid role based in Boston, MA. Onsite participation is required. 📩 When Applying Please include: Updated resume Expected Salary Notice period (30 days or less) A good time for a quick introductory call If you're excited about modernizing engineering ecosystems, improving developer experience, and driving organization-wide transformation, we'd love to connect.

Hello, We have urgent openings for a "Java Backend Developer". These are hybrid roles. Title: Backend Java Developer F2F interview is required Job Description: Java/AWS Backend Developer Senior Individual Contributors with deep expertise in Java, Node.js, AWS system design, event-driven microservices, performance optimization, and LLM integrations. Key Responsibilities Architect modular microservices and event-driven systems using Java/Node.js on AWS (SNS/SQS, Lambda, ECS, Batch). Drive performance improvements, profiling, fine-tuning, and quality gates for production reliability. Integrate chatbots and LLMs into backend services for intelligent, scalable applications. Required Qualifications 10+ years backend experience with Java and Node.js. Proven system design skills in distributed, microservices architectures. Hands-on AWS expertise and event-driven patterns. Track record of performance optimization and modular development. ABOUT US: Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java. If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to jeff.r AT anaghtech.com. Thank you for your time.

Location: This position is onsite at the Boston (zip 02210) HQ located next to South Station Monday - Thursday with Friday is a remote optional day Local Candidates only. No C2C's, No Sponsorship, Must be eligible for W2 employment in the US to be considered Our client builds the technology that powers modern, social-first gaming experiences. Through their proprietary sweepstakes-based sportsbook and casino engine, we enable partners to launch their own fully branded, legally compliant gaming products. Headquartered in Boston with operations in Monterrey, Barcelona, and Atlanta, our client is scaling rapidly and building a team passionate about redefining how people play, bet, and connect online. We are looking for Senior Backend Software Engineers, who will be instrumental in designing, developing, and maintaining the core infrastructure of the platform. You will take ownership of high-performance backend systems, drive technical excellence, and collaborate with cross-functional teams to deliver scalable, secure, and reliable solutions that support our growth and compliance needs. Key Responsibilities: Design & Develop Backend Systems - Build scalable, resilient APIs and backend components supporting web, mobile, and third-party integrations. Optimize Performance, Security & Compliance - Enhance system performance, implement security best practices, and ensure adherence to AML, KYC, data privacy, and gaming regulations. Data Infrastructure & Analytics - Develop and maintain data pipelines for analytics, fraud detection, geolocation, and regulatory reporting. Technical Ownership & Collaboration - Collaborate with product, security, compliance, and data teams to translate requirements into effective technical solutions. Operational Excellence - Participate in incident response, monitoring, and root cause analysis to ensure system stability and security. Mentorship & Innovation - Share knowledge with team members, promote best practices, and explore emerging technologies relevant to gaming, fintech, or AI fraud detection. Qualifications: Proven experience in designing, building, and scaling high-performance backend systems. Strong expertise in Python for backend development, automation, and data processing. Proficiency in API development, CI/CD processes, and infrastructure automation. Experience in data pipeline architecture, analytics, and geolocation-based access controls. Ability to mentor junior engineers and contribute to architectural decisions. Familiarity with security, compliance (AML, KYC, data privacy), and system performance tuning. Excellent collaboration skills across cross-functional teams.

Open Role: Onboarding Immediately for REAL is a modern platform focused on simplifying the leasing experience for tenants and landlords. Tenants can browse listings, take 3D tours, and complete the application process seamlessly on their phones. Landlords benefit from centralized management of the leasing cycle, from tours to rent collection, all in one platform. Role Description This is a full-time on-site Robotics Engineer role located in Danvers, MA. The Robotics Software Engineer will be responsible for tasks such as developing robotics systems, implementing process automation, and collaborating with the software development team to enhance technology solutions. Qualifications: Experience with Structure from Motion (SfM) and camera pose estimation Strong experience with 3D Gaussian Splatting and surface reconstruction Proficiency in Python and C++ Hands-on experience designing and implementing computer vision algorithms (segmentation, object detection, classification, tracking) Familiarity with deep learning models and their deployment Solid understanding of multi-view geometry Proficiency in OpenCV, and either PyTorch or TensorFlow Experience working with 3D point clouds, mesh generation, and libraries such as Open3D, Trimesh, or PCL Familiarity with 3D reconstruction pipelines (e.g., COLMAP, NerfStudio, Photogrammetry tools) Strong knowledge of coordinate frames, and camera calibration Preferred Qualifications: Master's degree in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field Experience with ROS/ROS 2 concepts Familiarity with robot localization using SLAM and multi-sensor fusion Experience working with multi-modal sensors: GPS, LiDAR, stereo/depth cameras, IMUs Proficient in path planning algorithms (both global and local) Experience developing robotic software stacks for controls, motion planning, sensor integration, and simulation.