This page tracks remote data engineer openings that are location-eligible for Montana.
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About Jellyfish Jellyfish is rewriting the manual on how high-performing engineering teams actually work within an AI world. We're seeking a Staff Data Engineer who's passionate about building and scaling robust data infrastructure, defining integration patterns, and driving technical strategy across large-scale systems. Ideally, you combine deep hands-on expertise with the ability to influence architecture and direction across teams. This is a high-agency role where you'll help shape not just what gets built, but how we build it — and raise the bar for the engineers around you. What You'll Do - Define the architecture and long-term technical direction, design and implementation of our data pipelines and integrations platform for storage, transformation and export at scale. - Drive integrations with third-party tools and establish the standards that make future integrations faster and more reliable - Own our infrastructure as code strategy using Terraform, and contribute to how we evolve our cloud data infrastructure - Architect workflow orchestration systems for near-real-time and batch data processing, with a focus on reliability and scalability - Lead the design and implementation of data export pipelines that serve diverse customer needs - Spearhead development of internal tooling and agentic workflows that meaningfully accelerate engineering velocity across the org - Serve as a technical anchor — leading design reviews, mentoring engineers, and elevating how the team approaches complex problems - Partner with engineering leadership on roadmap prioritization, cross-team dependencies, and org-wide technical strategy - Communicate clearly about technical decisions, tradeoffs, and project status to both engineers and non-technical stakeholders About You - You have deep expertise building and scaling data pipelines, and a track record of owning complex data infrastructure end-to-end — not just contributing to it - AI - driven developer who dives deep into AI first workflows - Expert Python engineer with strong opinions about how to build reliable, maintainable systems at scale - Designed and led large-scale third-party API integration work, and you know what separates a maintainable integration from a brittle one - Fluent in infrastructure as code (Terraform, CloudFormation, or similar) and think about infrastructure as a product, not an afterthought - Experienced with AI/LLM tool integrations (Claude, Copilot, etc.) and understand the unique infrastructure demands they create - You have production experience with workflow orchestration tools (Prefect, Airflow, Dagster) and can make the hard architectural calls - A natural technical leader — you build consensus, unblock others, and make the engineers around you better - You think in systems: you consider user needs, business impact, and long-term maintainability when designing solutions - Exceptional communicator who can write a design doc, lead a review, and distill a complex tradeoff for any audience - Located in EST or CST time zone Bonus points if: - You've thrived at a rapidly scaling startup and know how to balance speed with technical rigor - You have hands-on experience with Delta Lake and lakehouse architectures - You've built deep integrations with developer tools (Jira, GitHub, GitLab, CI/CD systems) and have strong opinions about how to do it well - You bring strong perspectives on how engineering teams work best — and the tools that help or hurt A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us. We love to have fun and win in the process. We only hire people who have a passion for building great companies in an environment where a sense of humor is a must. Occasional travel may be required. Applicants must be authorized to work for any employer in the US. We are unable to sponsor or take over sponsorship of an employment visa at this time. Let’s talk about us! This is all about you, but you want to know a little about us. Jellyfish enables leaders to effectively build AI-integrated engineering teams, align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.
We deliver better experiences for consumers and better results for your brand.
Senior Associate, Data Cloud Applications Description Zeta Global is seeking a Senior Associate for our Data Cloud Applications team to drive operational excellence, client support, and solution innovation. This role provides critical leverage to the team by driving outcomes for Zeta’s key agency platform partners. The Senior Associate will work closely with the partners to help them win new business, grow existing accounts, and maintain their competitive edge. They will collaborate with the broader team and manage cross-functional collaboration to deliver strategic solutions and meet client goals. They will provide thought leadership and tactical support to drive adoption of Zeta’s Data Cloud solutions and will play a key role in informing Zeta’s product roadmap by capturing client feedback and identifying opportunities for greater efficiency and effectiveness. Roles & Responsibilities - Develop a comprehensive understanding of the Zeta Data Cloud Identity Graph, attributes, and signals to support audience curation and data-related inquiries - Confidently demo Zeta’s Opportunity Explorer solutions both internally and externally to showcase how we can help brands acquire, grow and retain customers. - Act as a primary point of contact and trusted strategic advisor for clients and client account teams, providing consultative guidance and actionable recommendations on leveraging Zeta Data Cloud solutions to achieve business objectives. - Identify strategic opportunities from Data Cloud Intelligence solutions and present actionable findings to client stakeholders during intelligence readouts. - Offer strategic recommendations during RFP responses, identifying creative applications of Zeta’s identity, intelligence, activation and measurement solutions to differentiate client proposals. - Train client account teams on how to leverage Data Cloud Intelligence solutions, enhancing client teams' ability to independently utilize platform features - Audit and maintain client accounts, verifying that all requested solutions are accurately loaded and active. - Capture client needs and feedback that align with the Zeta product roadmap, acting as a liaison between client teams and Zeta’s Product team. - Advocate for client-driven enhancements, ensuring client needs are communicated clearly to influence future platform developments Qualifications - 3+ years of professional experience, including 2+ years in Advertising or Marketing Technology - Thrives in a challenging, fast-paced entrepreneurial environment with real-time impact on day-to-day business, championing a high agency mindset - Highly organized and detail-oriented, with proven ability to manage multiple projects and prioritize effectively under dynamic conditions - Analytical thinker, comfortable with quantitative analysis and data interpretation - Translates complex data findings into clear, concise, and compelling narratives tailored to various audiences - Creative problem-solver who can think outside the box to develop innovative solutions - Collaborative team player with strong independent working skills; self-motivated and dependable in driving initiatives forward - Proficient in Excel (VLookups, Pivot Tables, Logic-based queries, data cleaning & filtering) - Advanced in Microsoft PowerPoint for professional client-facing presentations Preferred Qualifications - Expert in Microsoft PowerPoint - Proficient in Tableau - Working understanding of SQL and relational databases WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. BENEFITS & PERKS - Unlimited PTO - Excellent medical, dental, and vision coverage - Employee Equity - Employee Discounts, Virtual Wellness Classes, and Pet Insurance and more!! SALARY RANGE The salary range for this role is $70,000 - $80,000.00, depending on location and experience. PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases #LI-EK1
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• Design, develop, and maintain production-grade Python and Java data services and pipelines deployed on Google Cloud Platform. • Build and evolve Google Cloud Dataflow batch and streaming pipelines for data ingestion, standardization, curation, and analytics load. • Implement and maintain event-driven data workflows using Google Cloud Pub/Sub. • Design and manage BigQuery datasets, table schemas, partitioning strategies, clustering, and reporting views. • Build and maintain Cloud Composer (Apache Airflow) DAGs for workflow orchestration. • Develop and maintain Cloud Run microservices and Cloud Functions. • Participate in design and code reviews; mentor junior engineers and contribute to shared coding standards. • Collaborate with teams to ensure on-time delivery and best engineering practices. • Engage proactively in the triage and resolution of escalated production issues. • Follow and comply with all security policies and procedures established by the organization, including adherence to HIPAA and HITRUST regulations.
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• Drive the company-wide AI agenda: scaling local AI initiatives into centralized production systems that create measurable business value. • Own broad, high-impact AI initiatives that have cross functional impact: Moving our AI usage from past narrow or siloed automation examples to execute a company operational transformation. • Partner with Product, Engineering, and operational leaders to embed AI capabilities into our customer-facing platform, internal business workflows, and core processes. • Serve as the ultimate technical authority for our data and AI infrastructure, making critical architectural decisions across MLOps pipelines, LLM orchestration frameworks, and distributed data systems. • Oversee the development of a scalable corporate data platform that serves as the foundational bedrock for all AI and machine learning capabilities. • Transform our internal knowledge base by building the systemic data architecture needed to turn unstructured information into intelligent, easily searchable, and actionable assets. • Re-build and evolve our company-wide data structures and connectivity pipelines to be optimized to deploy, run, and maintain AI models efficiently while lowering cost-to-serve. • Set the company wide tooling standards, maintain technical quality guardrails, and establish engineering best practices for embedded AI specialists working within distinct business units. • Actively support the implementation of key local solutions built by decentralized specialists, ensuring they have the tools and centralized platform support required to succeed. • Maintain high levels of ethical compliance by ensuring all global AI initiatives strictly adhere to data privacy, platform security, and ethical compliance standards. • Educate and empower teams across the organization to scale their own AI use productively, providing them with the structural frameworks needed to safely build and innovate within their functions. • Partner deeply with the People and Operations functions to champion organizational AI capability, replacing operational uncertainty with structured technical training loops that convert manual specialists into power-users of automated solutions. • Drive the organizational change management and literacy efforts required to reshape daily workflows, shifting company culture and habits from traditional manual processes to AI-assisted operations.
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• Own pipeline and infrastructure work from intake through production • Build and maintain ingestion and transformation pipelines from operational systems, third-party APIs, and event streams into the warehouse • Turn product and business requirements into specifications and well-modeled datasets • Write and maintain Terraform for the AWS resources your pipelines run on • Use CI/CD to ship pipeline and infrastructure changes safely and often • Build data quality checks, unit tests, and integration tests for the pipelines you own • Use modern tooling, including AI assistants, to move faster on development, testing, and documentation • Build datasets and reporting layers for product features, BI, and operational reporting • Work with Product, Engineering, Operations, Sales, and Compliance so data solutions actually fit the downstream use case • Write the runbooks and documentation that on-call teammates and stakeholders will rely on • Watch your pipelines in production and fix issues before someone has to ask • Keep up with what is changing in data engineering, cloud infrastructure, and fintech compliance
Role Description ADTRAV is seeking a Principal Data Engineer to be responsible for leading the design, development and implementation of components within ADTRAV’s business intelligence application. This position has access to data as part of a government contract, and it is a requirement of the contract for individuals to be a U.S. citizen. Candidates must be able to show proof upon hire that they meet this requirement. In addition, this position is required to pass a government clearance process. - Lead the design, development, and implementation of major components of the RezIntel platform. - Work with cross-functional teams to gather requirements and understand data needs. - Implement data ingestion, storage, and processing solutions for structured and unstructured data. - Ensure the data storage system is scalable and highly available. - Develop and maintain data pipelines and ETL/ELT processes. - Maintain a strong understanding of a data lifecycle. - Conduct data modeling and create documentation like data definitions, data flow diagrams, and process definitions. - Automate and ensure data quality. - Design and develop database objects, tables, stored procedures, views, and ETL pipelines. - Conduct performance tuning of T-SQL, including stored procedures, views, functions, etc. - Mentor and instruct other engineers on best practices. - Analyze, solve, and correct issues in real-time. - Provide engineering estimates. - Use Agile development tools to track and communicate project progress. - Stay up to date on new information technologies and emerging trends, and their possible application in the company. - Work non-standard business hours to attend meetings and provide support via text/phone/email in a 24/7/365 environment. - Represent ADTRAV by embracing the company values and maintaining effective working relationships with employees, partners, vendors, and clients. - Adhere to company policies and procedures. - Other duties as assigned. Qualifications - Bachelor’s Degree in related field or equivalent experience required. - 10+ years of experience in ETL technologies and concepts like SSIS and Python/Pandas. - 8+ years of experience in Data Warehousing, DataVault, and Data Mart concepts and implementation especially in relational databases like SQL Server. - Ability to mentor engineering teams on best practices. - Strong SQL knowledge and work experience with relational databases such as Microsoft SQL Server, or PostgreSQL. - Experience in architecting, crafting, and developing highly scalable distributed data processing systems. - Experience architecting DataVault and/or Kimbell systems. - Experience in using visualization and reporting tools such as SSRS, Qlik Sense, and PowerBI. - Experience implementing data solutions in Azure and on-prem data centers using ETL tools, queues, batch scheduling services and various storage solutions. - Background in data analysis and data modeling. - Experience in Agile SDLC methodologies (Kanban and Scrum). - Experience building and deploying applications using continuous integration pipelines and automated deployment tools such as Azure DevOps, etc. - Hands on experience with Python, Pandas, and other Python ETL tools required. - Ability to estimate the work required and deliver the project on schedule as estimated. - Experience with source control such as Git or TFS. - Experience with issue tracking systems such as Jira or Azure DevOps. - Ability to learn ADTRAV’s business and products quickly and adapt to a dynamic development environment. - Excellent English written and verbal communication skills. - Ability to communicate ideas and concepts clearly and concisely, while also being open to receive feedback and direction as needed. - Highly self-motivated and able to prioritize and manage multiple tasks with varying deadlines. - Able to work in a fast-paced environment while balancing both strategic and tactical responsibilities. - Detail oriented with strong organizational and analytical skills. - “Can do” problem solving mentality, while still respecting standards, quality, and security. - Able to present a professional and positive demeanor with internal and external customers/clients and work cooperatively. - Ability to work remotely and meet the company home-office requirements, including stable, high-speed internet. - Able to maintain confidentiality of company and client information. - Able to work outside of normal business hours and provide 24/7/365 support to team. - Able to successfully pass a credit, criminal, and/or employment reference background check. - Able to successfully pass a government clearance process as required by clients. Benefits - Salary range for this position is $140,000-160,000 a year but consideration may be given outside of this range. - Pay is based on experience with the role and with the required applications/technologies. - ADTRAV offers a competitive benefits package that includes: - Medical - Dental - Vision - Life - Disability - Flexible Spending Accounts - 401(k) - PTO Company Description ADTRAV Travel Management, founded in 1977, has over four decades of experience in managing corporate, government, vacation, group, meetings, and incentive travel programs across the United States. We have experienced steady growth throughout our history and are currently ranked as one of the top business travel management companies in the country.
• Collaborate closely with the development team to deploy and maintain application infrastructure. • Assist in the development and support of tooling to streamline the deployment and maintenance of our products. • Work with Kubernetes, Docker, and Helm to deploy applications from development through to production environments. • Support both in-house and third-party applications, including handling deployments, upgrades, and troubleshooting. • Write and manage automation pipelines for application deployment and maintenance. • Engage in the day-to-day management of Linux servers via the command line. • Document processes and best practices clearly and concisely. • Assist in deploying, monitoring, and maintaining data pipelines, ETL/ELT processes, and data infrastructure. • Collaborate with data engineers to support data workflows and ensure timely and accurate data delivery.
Cervello, Inc. prides itself on providing a culture where our employees belong and thrive equally, which means our people feel comfort, confidence, and joy as they do great things for our firm, our colleagues, and our clients. That’s why Cervello, Inc. is committed to building a diverse workforce and inclusive environment. Cervello, Inc. is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race or ethnicity, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities or religious beliefs and practices. We encourage everyone to apply, including those who may not feel historically represented in consulting.
Role Description Sr. Data Engineer (Boston MA) wanted for business analytics and planning co. Requires Masters in Computer Science or Electrical Engineering. Remote employment possible, work from anywhere. To apply please mail your resume to the Cervello office at: 155 Seaport Blvd Floor 2 Boston, MA 02210 Base salary range: $140,130 - $160,000. It is important to note that at Cervello, Inc. it is not typical for an individual to be hired at the top of the range for their role. Individual salaries within each range are determined through a wide variety of factors, including but not limited to education, experience, knowledge, and skills. Cervello, Inc. reviews compensation regularly and may adjust base salaries to reflect market competitiveness. In addition to salary, individuals may be eligible for a discretionary performance bonus. Qualifications - Masters in Computer Science or Electrical Engineering Requirements - Remote employment possible, work from anywhere Benefits - Paid time off - Paid sick leave - 401(k) match and profit sharing - Medical, dental, and vision coverage - Healthcare concierge services - Backup child/adult care - Annual employer HSA contributions - Home office stipend - Subsidized gym membership - Annual wellness program - Leaves of absence when needed to support employees’ physical, mental, and emotional well-being Company Description Cervello, Inc. prides itself on providing a culture where our employees belong and thrive equally, which means our people feel comfort, confidence, and joy as they do great things for our firm, our colleagues, and our clients. That’s why Cervello, Inc. is committed to building a diverse workforce and inclusive environment. Cervello, Inc. is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race or ethnicity, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities or religious beliefs and practices. We encourage everyone to apply, including those who may not feel historically represented in consulting.
• Design, develop, and maintain scalable data pipelines and integration solutions within the Azure ecosystem • Build and support enterprise data platforms that consolidate information from multiple source systems • Develop ETL/ELT processes to ingest, transform, validate, and distribute business-critical data • Contribute to data modelling, data quality, and governance initiatives • Support Master Data Management (MDM) processes and ensure consistency across systems • Work with structured and semi-structured data from ERP, business applications, APIs, databases, and external sources • Collaborate with business and technical stakeholders to translate requirements into scalable data solutions • Participate in deployment, testing, monitoring, and continuous improvement activities • Contribute to CI/CD pipelines, automation, and DevOps best practices • Actively participate in Agile ceremonies and team collaboration
Role Description We are looking for a Principal Data Engineer to sit at the intersection of data engineering and applied data science. You will own the design, development, and operation of the platforms and pipelines that power our data science capabilities — ensuring data flows reliably from source systems through to analysis, and business consumption. This role is roughly 75% data engineering and 25% data science and is ideal for someone who builds with engineering rigor but thinks with a data science mindset; someone who is energized by building platforms that make AI real in an organization. The right candidate is curious by nature — you explore out-of-the-box ideas and stay current with the fast-moving AI/Machine Learning (ML) landscape. You’ll work directly with: - Business analysts - Product owners - Business end-users - Engineering and application teams - Data/platform engineering teams A consultative communication style is critical as shared outcomes across technology and business are the expectation. Qualifications - Bachelor’s degree in computer science, engineering, mathematics, or a related field, OR 7+ years of equivalent verifiable experience, skillset, and record of accomplishment - Experience in a Principal or Senior Data Engineer role with direct involvement in ML platform or Data Science work - Proficiency in an analytics/BI tool such as Power BI Requirements - Modern data stack technologies — Databricks (strongly preferred), Snowflake, Spark - Inbound/outbound transportation of data with APIs and FTPs - MPP databases such as Databricks, Snowflake, BigQuery, Teradata, or Azure Synapse - Cloud platforms — AWS, Azure, or GCP - Python and SQL - Building and deploying ML models (classification, regression, forecasting, NLP, or similar) - Familiarity with ML frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow - MLflow or similar tools for experiment tracking, model registry, and deployment - Understanding of feature engineering, model evaluation, and common ML failure modes - Strong understanding of data modelling techniques (Kimball, Data Vault) and distributed systems - Familiarity with feature stores, training pipelines, and batch/real-time inference architectures Benefits - 401K company match up to 4% - Paid Time Off - Medical Insurance options including FSA & HSA - Vision Insurance - Dental insurance - Employee Assistance Programs - Team Member Referral Program - Tuition Reimbursement - Wellbeing Program - Career development opportunities
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Python, SQL, BigQuery, Cloud, AWS, ETL
