• We are hiring a Senior Finance Analytics Engineer on the Finance Data Team to support data modeling, reporting, and designing data products for an AI-native consumption model. • Design and build dbt models that serve as the source of truth for Finance & Accounting reporting, planning, and analysis. • Partner directly with stakeholders in Finance, Accounting, Revenue, and FP&A to define metrics, shape requirements, and translate business logic into well-structured models. • Write and optimize complex SQL against our Databricks environment with attention to accuracy. • Uphold and evolve patterns for model design, testing, versioning, and data contracts across the dbt project. • Design the semantic layer and metrics definitions (MetricFlow, Cube, or equivalent) that both humans and agents query against. • Drive the documentation flywheel across dbt, Databricks, Confluence, and the semantic layer so that models, columns, and metrics are legible to LLMs and analysts alike. • Use AI tooling (Claude Code, Cursor, and our internal capabilities) as a daily part of your own development workflow.

Title: Senior Python Engineer Location: Washington United States Job Description: Meet Slingshot  At Slingshot Aerospace, we're on a mission to make space safer and more secure for everyone. Our work directly impacts global security, disaster response, climate monitoring, and the critical infrastructure that connects our world. We're a team of builders, thinkers, and problem-solvers who believe that the next generation of space operations will be powered by better data and smarter software. We move fast, we're not afraid to fail, and we believe the best ideas can come from anywhere-whether you're in engineering, sales, product, or operations. If you want to work on something that truly matters, with people who care deeply about the impact we're making and help shape the future of an industry that's just getting started, you're in the right place.  What You'll Be Launching  Hiring for two Senior Python Engineers to help architect and build secure, scalable, high-performance data processing and intelligent application platforms in the Washington DC-Baltimore area. Work is mostly done remotely but regular site visits in the DC area are required.  Requires deep expertise in Python, FastAPI, distributed event-driven systems, MongoDB, and in-memory data technologies such as Redis. The engineer will play a key role in system architecture, development of production-grade services and pipelines, and implementation of best practices across data ingestion, transformation, streaming, AI integration, and secure software delivery. Experience with Retrieval-Augmented Generation (RAG) systems and Agentic AI workflows is highly desirable. This team is actively re-platforming a mission-critical production data pipeline from a legacy first-generation architecture into a modern, cloud-native, event-driven platform. These are newly created positions-not backfills-established specifically to expand the engineering team responsible for designing and building the next-generation system alongside an experienced group of senior engineers and architects. This is a highly hands-on engineering role within a small, senior-level team focused on re-architecting a high-throughput, mission-critical data platform. Engineers will work across several high-impact initiatives, including replacing tightly coupled synchronous processing patterns with asynchronous, event-driven microservices and defining the service boundaries, repository structure, and engineering standards that will support the platform long term. This is a true greenfield modernization effort. Candidates joining at this stage will have direct influence over architecture decisions, service ownership, development standards, and platform strategy. The environment combines modern cloud-native technologies with a serious compliance and security posture, including AWS GovCloud, FastAPI-based Python services, managed AWS infrastructure, Kubernetes with KEDA autoscaling, and Datadog observability. Engineers looking to work at the intersection of advanced distributed systems, cloud-native engineering, and government-grade security will find a strong fit in this opportunity. Your Mission (Should you choose to accept it)   - Develop Python-based ETL frameworks, orchestration layers, and high-throughput data pipelines. - Implement and optimize real-time, event-driven streaming architectures using Kafka and/or RabbitMQ. - Build and scale FastAPI microservices with strong focus on performance, resilience, security, and observability. - Design MongoDB schemas, indexing strategies, and aggregation pipelines with attention to performance. - Implement caching layers, session management, and high-speed data access using Redis or similar in-memory stores. - Contribute to the design and implementation of RAG pipelines, vector search integrations, and retrieval optimization. - Implement Agentic AI workflows using LangChain and Crew AI. - Apply Secure SDLC practices across coding, code review, CI/CD, and deployment. - Participate in architecture reviews and contribute to engineering standards for distributed systems. - Troubleshoot complex data, system, and performance issues in production environments. - Support containerization, Kubernetes-native deployment patterns, and AWS cloud integrations. Pre-flight Checklist  - Expert-level Python experience across ETL, microservices, and distributed data processing. - Strong FastAPI development and optimization experience. - Production experience with Kafka and/or RabbitMQ. - Strong MongoDB expertise: schema design, indexing, aggregation, sharding/replication. - Experience with in-memory databases such as Redis. - Hands-on experience implementing vector search or RAG-based retrieval pipelines. - Experience with agent-driven AI architectures and LLM-powered automation workflows. - Strong Linux proficiency and experience with Docker/Kubernetes. - Demonstrated ability to debug complex distributed or high-scale systems. - Hands-on AWS experience across compute, networking, and data services. - Proven application of Secure SDLC and secure engineering patterns. - Bachelor's or advanced degree in CS, Engineering, or related field. Strong preference for candidates with Active Top Security Clearance with SCI Eligibility  Location: Washington DC Metro Area  Salary: $150,000 - $220,000, equity and benefits    US-based Candidates: we are currently only able to hire residents of the following U.S. states: AL, AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MA, MD, MI, MN, MO, MT, NC, NJ, NM, NV, NY, OH, OK, OR, RI, TN, TX, UT, VA, WA, WI, WV We are unable to consider candidates residing in other U.S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one's identity. All of our employees' points of view are key to our success, and we embrace individuality.

Role Description Celigo is looking for an Analytics Engineer to serve as the definitive owner of our business logic and the primary architect of our "Gold" data layer. You will bridge the gap between raw data and executive-level insights by transforming complex datasets into clean, validated, and highly performant tables. By applying software engineering rigors—such as version control, automated testing, and CI/CD—to our workflows, you will ensure our data warehouse remains a trusted "single source of truth." Your mission is to empower the company with the reliable data to drive decisions across Product, Finance, and GTM teams. - Develop and maintain scalable data models using dbt / Coalesce to transform raw data into clean, documented, and production-ready schemas. - Collaborate with Data Engineering and Data Analytics to ensure technical architecture supports business logic and reporting requirements. - Implement automated testing, data documentation, and observability frameworks to ensure a "single source of truth." - Optimize SQL queries and warehouse configurations to improve performance and manage compute costs. - Maintain version control workflows, CI/CD pipelines, and coding standards across the data team. - Support the semantic layer and BI data catalogs to enable self-service exploration. Qualifications - Strong belief in applying software engineering best practices (testing, versioning, peer review) to data workflows. - Ability to design modular data models (Star Schema, Kimball) that balance flexibility with system performance. - Proficiency in communicating technical trade-offs to both analysts and infrastructure engineers. - Degree in Computer Science, Mathematics, Statistics, or a related quantitative field. - 3+ years of experience in Analytics Engineering, Data Engineering, or a technical Data Analyst role. - Expert-level proficiency in SQL with a focus on writing efficient, maintainable, and readable code. - Hands-on experience with dbt / Coalesce and modern cloud data warehouses like Snowflake or BigQuery. - Familiarity with Git, pull request workflows, and command-line interfaces. Requirements - Experience with Python for data orchestration (e.g., Airflow) or advanced data manipulation. - Understanding of Fintech or SaaS-specific metrics such as ARR, churn, and financial reconciliation. Benefits - Remote-first culture, built on trust, collaboration, and transparency. - A high-growth, inclusive work environment where innovation thrives and ideas are implemented. - Lightspeed learning opportunities to keep you at the leading edge of your field. - Exceptional coworkers who challenge and inspire you daily. - Competitive compensation and benefits, including: - Three weeks of vacation (starting year one). - Wellness days and holidays to recharge. - Parental leave and a generous benefits package. - Monthly tech stipend. - Recognition and career development opportunities. Company Description Celigo is proud to be a 2025 Gartner Customers’ Choice for iPaaS. The only vendor to receive this award. Celigo is a Visionary in the Gartner Magic Quadrant for iPaaS for the second consecutive year. Celigo is ranked #1 iPaaS on G2 for multiple quarters and named a Leader in both B2B/EDI and API Management. Celigo is a leading intelligent automation platform that puts the power of automation in the hands of every team, unifying workflows from the predictable to the fully agentic in a single platform.

Title: Analytics Engineer Location: Toronto, Canada Job Description: Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Analytics Engineer - Consumer Data Science Check out our r/RedditEng post to learn more about the team, and what we do: https://www.reddit.com/r/RedditEng/comments/1mnmf71/analytics_engineering_reddit/ On Reddit, people can dive into anything through experiences built around their interests, hobbies, and passions. Our mission is to empower communities and make their knowledge accessible to everyone. With over 100,000 active communities and over 120 million daily active users, it is home to the most open and authentic conversations on the internet. Reddit’s unique and differentiated product is extremely attractive to advertisers, who can reach out to and connect to our users authentically. We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization, focused on the Consumer domain. We are looking for someone who can work closely with Data Scientists and members of Consumer cross-functional teams (Product, Engineering, and Design) to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s product forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base. Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas. Reddit has a flexible workforce! If you happen to live close to one of our physical office locations, our doors are open so you can come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Responsibilities: - Be an Analytics Engineering leader within the Consumer organization and a key contributor and collaborator to the success of Data Science data quality, performance, reliability, and automation initiatives. - Be the data steward for Consumer products: architect and improve the collection of underlying data while also creating ETLs, reporting dashboards, data aggregations and other deliverables needed for product feature tracking, user retention analysis, A/B testing, and a large number of other data-driven activities. - Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines. - Create user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining data analysis and reporting processes. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability. - Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service. - Provide technical guidance, mentorship, coaching and/or training to data scientists and other technical partners. - Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit. Qualifications: - Degree in a quantitative discipline such as statistics, operations research, computer science, applied mathematics, economics, or physics - 4+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code and systems (Python preferred) in a production environment. - Strong programming proficiency in Python, SQL, Spark, Scala, etc. - Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data. - Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering. - Experience in data visualization and dashboard design. - Deep understanding of technical and functional designs for relational and MPP Databases. - Proven track record of cross-functional execution and collaboration. Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen. - Self-starter, ability to work independently and autonomously, as well as part of a team. - Consumer product domain experience is a big plus. - Agentic AI-assisted development experience. Benefits: - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Comprehensive Medical Benefits & Health Care Spending Account - Registered Retirement Savings Plan with matching contributions - Income Replacement Programs - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave #LI-REMOTE In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.