{"id":195605,"url":"https://alion.io/job/applied-systems-staff-data-engineer","title":"Staff Data Engineer","company":{"id":13430,"name":"Applied Systems","domain":"appliedsystems.com","url":"https://alion.io/company/appliedsystems","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-09-03T09:45:52Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-29T15:27:28Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":56},"description":"Job Description\nAmazing Career Moments Happen Here\nTransforming the insurance industry is ambitious, we know. That’s why at Applied Systems India Pvt Ltd., an Applied Systems company, we’re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers - all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we’re not just redefining what’s achievable, we’re creating a place where amazing career moments are made possible.\nPosition Overview\nApplied Systems, Inc., a worldwide leader in insurance technology, is currently searching for an experienced Staff Data Engineer with proven experience in Google Cloud Platform (GCP) to join our growing Data team in India. We are on an exciting journey to scale our Data and Analytics capabilities to enable better data-driven decision making across the business. In this role you will contribute towards setting the technical direction for our data platform on Google Cloud Platform - defining architecture, establishing engineering standards, optimizing data processes, and ensuring the seamless integration of data from various sources. This is an individual contributor role with organization-wide influence: you will solve our hardest data problems and raise the bar for how we solve all of them. If you are passionate about data and excited to work on cutting-edge technologies, we want to hear from you!\nWhat You will Do\nDesign, develop, operationalize robust and scalable data pipelines with automated data quality checks to support business needs and demonstrate ownership of live data pipelines and establish the patterns other engineers use to build theirs. \nProficiency understanding and implementing data life cycles, data lineage, custom metadata, and data governance. \nProficiency implementing BigQuery SQL procedures, functions, and similar, with actionable logging \nOptimize ETL processes and data workflows to ensure abiding by performance constraints, for efficiency and scalability. \nTogether with the Principal Engineer and Architect, own the architecture of our data platform end to end - ingestion through consumption - across GCP, BigQuery, dbt, Airflow, and Python. \nExpertise in JSON, XML, text parsing using Dataflow, Python, or batch jobs. \nDefine and enforce engineering standards across data teams: code review norms, testing strategy, reusable frameworks, CI/CD for data. \nDesign, develop and maintain robust, and scalable data models and schemas to support analytics and reporting requirements. \nOptimize data processing performance, ensure high availability, scalability of data systems and solutions. \nImplement monitoring and alerting mechanisms to proactively identify and resolve issues. \nEnsure data quality and consistency through rigorous testing and validation processes in development and production tiers. \nCreate, update, and maintain technical documentation of the data processes, pipelines, and models. \nMentor and grow engineers across teams through design review, pair programming, and structured technical feedback. \nPartner directly with Engineering, Product, and business leadership to translate ambiguous business problems into technical requirements. \nIdentify systemic problems no one has asked you to fix, and build the case for addressing them. \nEvaluate emerging technologies and lead the technical roadmap for the data platform, including a multi-quarter view of what we build next and what we retire. \nWhat You will Need to Succeed\n10+ years of experience in Data / ETL Engineering, as well as Data / ETL Architecture and pipeline development, including 3+ years operating at senior or lead level with demonstrated technical influence beyond your immediate team. \n3+ years hands-on with the Google Cloud Platform (GCP), including deep BigQuery expertise: partitioning and clustering strategy, slot and reservation management, cost optimization at scale, and query performance tuning. \nProven track record architecting, building and scaling cloud data platform serving multiple consuming teams - with specifics on scale, latency, and cost. \nExperience with the primary managed data services within GCP, including DataProc, Dataflow, BigQuery etc. \nDeep expertise in SQL, DBT, Python (Apache Airflow, Composer) and hands-on experience with ETL tools like Talend, Fivetran or similar. \nDemonstrated experience with streaming and near real-time architectures, including delivery semantics, schema evolution, and late-arriving data. \nStrong dimensional modeling expertise, and the judgment to know when to depart from it. \nExperience establishing data quality, observability, and testing frameworks that other engineers adopt and maintain. \nExperience with infrastructure as code and CI/CD for data workloads. \nDemonstrated ability to influence without authority - driving technical decisions across teams that don't report to you. \nTrack record of mentoring engineers to promotion. \nExcellent written communication, including design documents that create alignment among senior stakeholders. \nBachelor's degree in Computer Science or a related field, or equivalent experience. \nWhen You Join Team Applied, You Can Expect:\nA culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.\nWe flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.\nLearn more about the people behind our products at -\nLinkedIn Page Applied Systems India \nhttps://www1.appliedsystems.com/en-us/about-us/jobs/ \nYour Security Matters:\nOur candidates’ personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers’ portal.\nEEO Statement\nApplied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. 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