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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineer III - Data Engineer - **Company:** Anaplan - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Amazon S3, BigQuery, Cloud Database, Code Review, Information Engineering, Data Security, Dataspaces, Distributed Computing Environment, Amazon DynamoDB, Python (Programming Language), Machine Learning, MongoDB, NLTK (NLP Analysis), NoSQL, Operational Databases, Software Architecture, Queueing Systems, RabbitMQ, Redis, Cloudera, Anaplan, SQL Databases, Workflow Management Systems, Google Cloud, Data Ingestion, Snowflake, Apache Spark, Multi-Cloud, Caching, Electronic Medical Records, Pytest, Containerization, Kubernetes, Low Latency, Apache Kafka, Machine Learning Operations, Entity Resolution, Spacy, Data Pipelines, Amazon Elastic Mapreduce (EMR), Docker, Databricks - **Published:** October 29, 2026 - **Apply:** https://job-boards.greenhouse.io/anaplan/jobs/8808553002 ## About the Role * Experience: 6+ years of software or data engineering experience, including 3+ years of experience building and maintaining production data pipelines. * Python Mastery: Strong Python development skills with a commitment to writing clean, tested code (using pytest, nox, or tox). * Orchestration Expertise: Deep experience with workflow orchestration (Airflow DAG design, operators, scheduling, and failure handling) or modern alternatives like Dagster and Prefect. * Data Ecosystems: Hands-on experience with distributed compute (Spark) and cloud data ecosystems (AWS EMR/Athena/S3, Databricks, Snowflake, GCP). * Storage & Modeling: Solid SQL and data-modeling skills, alongside practical experience with NoSQL databases, caching layers, and message queues (MongoDB, Redis, Kafka, RabbitMQ). * Infrastructure Familiarity: Comfort deploying and managing containerized workloads on Kubernetes using Docker and Helm. * Production Ownership: A proven track record of owning production pipelines, including participating in on-call rotations, incident response, and root-cause analysis. * Communication: Clear written technical communication and a history of documenting architectural decisions. Nice to have * Scraping Infrastructure: Experience managing large-scale web datacollection and distributed crawler infrastructure. * Data Science / ML Concepts: Familiarity with record linkage, entity resolution, fuzzy matching, and NLP preprocessing (spaCy, NLTK). * Multi-Cloud Pipelines: Hands-on experience building multi-cloud datapipelines (e.g., bridging GCP/BigQuery and AWS). * ML Ops: Experience designing data pipelines that directly feed machine learning or forecasting systems. ## Description * Distributed Processing: Build scalable distributed processing architectures (Spark on EMR, Databricks, Dataproc) and analytical query layers (Athena, Snowflake, BigQuery), including cross-cloud ingestion pipelines. * Caching & Entity Matching: Improve entity matching and caching services (Redis, MemoryDB, DynamoDB) to optimize accuracy, latency, and operational cost. * Data Access & APIs: Develop and maintain high-performance Python dataaccess layers and APIs for downstream ML and product teams. * Data Quality & Observability: Own data quality initiatives, including validation frameworks, retention policies, backfills, monitoring, and OpenTelemetry-based observability. * Cross-Functional Collaboration: Partner with data science, forecasting, and platform teams to ship features safely behind feature flags (LaunchDarkly, Unleash). * Engineering Leadership: Raise engineering standards across the team through rigorous code reviews, technical design documents, and mentoring., We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: * Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. * Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.