{"id":2632484,"url":"https://alion.io/job/curvion-blue-data-analytics-engineer","title":"Data & Analytics Engineer","company":{"id":4377754,"name":"Curvion Blue","domain":"curvionblue.com","url":"https://alion.io/company/curvion-blue","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":65,"open_postings":12,"ghost_share":0.583,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"UTC-8 – UTC-5","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["IN","AR","BR","MX","PH","ZA","UA","CL","EC","PY","PE","VE"],"hiring_countries_total":12,"salary":{"min":8,"max":10,"currency":"USD","period":"hour","gross":null,"usd_annual":20000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-01T21:55:55Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-16T03:13:59Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":14},"description":"A Snapshot of Curvion\nCurvion is a high performance RevOps & sales augmentation agency that installs and deploys enterprise-grade, AI-driven revenue engines and selling systems for our clients.\nThink of a lead generation based marketing agency... but focused on sales.\nWe design and install complete sales systems from sales processes and GTM strategy to CRM setup, all the way to fully outsourced sales engagements. Then we put AI-enabled tools, battle-tested playbooks, and trained sales talent behind those systems to help our clients generate revenue faster, operate more efficiently, and scale with greater consistency, clarity, and control.\nPut simply, we build the infrastructure and systems that make sales work better.\nPosition Overview\nWhat the heck is a Data & Analytics Engineer, right?!\nThink of it as the architect, builder, and strategist of our sales data universe, all rolled into one.\nThis role is the nerve center of Curvion’s reporting ecosystem, making sure every number, metric, and trend we rely on is accurate, trustworthy, and actionable.\nYou’ll build and optimize data infrastructure in BigQuery, fine-tune ETL/ELT processes, design dashboards in Looker Studio, and ensure our sales leaders have clear, reliable data to guide decisions.\nIn short, you’re the person who makes the data magic happen so our teams can operate smarter, close more deals, and scale faster.\nIf you love clean data, efficient workflows, solving complex data problems, and turning raw numbers into actionable insights, you’re going to thrive here.\nYou SHOULD Apply to This Role If:\nYou’re fluent in SQL and genuinely enjoy query optimization\n\nYou have strong Python skills and understand how to use it to solve real data problems\n\nYou love taking messy, scattered data and making it reliable and usable\n\nYou can build dashboards that make complex information easy for sales leaders to understand\n\nYou enjoy building pipelines and workflows that work reliably and efficiently\n\nYou can spot a reporting anomaly from a mile away\n\nYou’re obsessed with accuracy, data integrity, and efficiency\n\nYou naturally investigate the root cause when something doesn’t look right\n\nYou get fired up about eliminating manual reporting processes\n\nYou want to directly impact revenue without having to jump on sales calls\n\nYou’re comfortable working independently while still collaborating closely with a high-energy team\n\nYou believe sales data should drive decisions, not just look pretty\n\nYou SHOULD NOT Apply to This Role If:\nComplex SQL queries or data warehouses make you want to run for the hills\n\nYou get bored managing and optimizing ETL/ELT pipelines\n\nYou think “good enough” is an acceptable standard for reporting accuracy\n\nYou don’t enjoy solving data puzzles or tracking down inconsistencies\n\nYou’re resistant to learning new tools, systems, or automation methods\n\nYou’d rather eyeball data than thoroughly audit it\n\nYou’re not interested in supporting a high-performance sales environment\n\nYou prefer slow-paced environments with minimal change\n\nYou think dashboards are a “nice to have” instead of a critical business tool\n\nYou still believe spreadsheets should be the primary reporting system\n\nYou eat your pizza with ranch... may be flexible on this one\n\nGeneral Expected Duties:\nDesign, maintain, and optimize ETL/ELT processes to ensure accurate and 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