{"id":4022909,"url":"https://alion.io/job/kozak-agency-senior-backend-engineer-distributed-systems-and-sql-query-engines","title":"Senior Backend Engineer (Distributed Systems and SQL Query Engines)","company":{"id":4485934,"name":"Kozak Agency","domain":"kozak-ag.com","url":"https://alion.io/company/kozak-agency","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"PST","utc_offset_min":-8,"utc_offset_max":-8},"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Iceberg","optional":true},{"name":"ClickHouse","optional":true},{"name":"Delta Lake","optional":true},{"name":"DuckDB","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-11-10T15:41:35Z","employer_posted_date":null,"last_verified_at":"2026-11-10T15:41:35Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Experience: 5+ years in Software/Backend Engineering\n\nSpecialization: BigQuery (GCP) or Databricks (Spark/Lakehouse)\nAbout the Company\n\nOur client is a US-based technology company developing an innovative data platform that helps businesses optimize analytical workloads and significantly reduce cloud data processing costs.\n\nThe company builds intelligent technology that enables organizations to execute analytical queries more efficiently across different data engines, without major changes to their existing applications or data infrastructure.\n\nThe engineering team works on challenging problems involving distributed systems, SQL processing, and modern cloud data platforms.\nAbout the Role\n\nWe are looking for a Senior Backend Engineer to help develop and extend a distributed SQL query-processing platform.\n\nYou will work on backend services responsible for integrating analytical database engines, routing queries, and ensuring reliable execution across different environments.\n\nWe are considering engineers with expertise in either Google BigQuery/GCP or Databricks/Spark. Experience with both is not required.\n\nThis is a software engineering position with a strong focus on backend architecture and database integrations.\nKey Requirements\n\nBackend Engineering & Distributed Systems\n\n5+ years of professional software/backend engineering experience.\n\nStrong experience building reliable, scalable distributed services.\n\nSolid understanding of concurrency, fault tolerance, and error handling.\n\nPython development experience is highly desirable.\nBigQuery or Databricks Expertise\n\nIdeally 2–3+ years of hands-on experience with one of the following:\n\nGoogle BigQuery and GCP, or\n\nDatabricks, Apache Spark, and Lakehouse technologies.\n\nExperience working with analytical workloads and integrating data-processing platforms.\nSQL & Query Processing\n\nStrong SQL skills and understanding of analytical database engines.\n\nFamiliarity with SQL dialect differences and engine-specific behavior.\n\nExperience with query optimization, database integrations, or SQL workload processing.\nWhat You’ll Do\n\nDesign and develop distributed backend services.\n\nBuild integrations with BigQuery or Databricks.\n\nContribute to intelligent SQL query-routing functionality.\n\nWork on compatibility and reliability across analytical database engines.\n\nImprove query execution workflows and failure handling.\n\nCollaborate with the engineering team on architecture and platform improvements.\nNice to Have\n\nSQL parsing, AST manipulation, or query-planning experience.\n\nKnowledge of database/query-engine internals.\n\nExperience with Apache Arrow, Iceberg, or Delta Lake.\n\nQuery routing, SQL gateways, or database proxy development.\n\nExperience with Snowflake, DuckDB, or ClickHouse.\n\nPrevious experience migrating analytical workloads between engines\nMUST-HAVE REQUIREMENTS:\n\nBackend Engineering & Distributed Systems – 5+ years of experience in backend engineering, including at least 1 year of hands-on experience with distributed systems.\n\nBigQuery (GCP) OR Databricks (Spark/Lakehouse) – 2+ years of practical experience with at least one of these platforms.\n\nSQL & Query Engine Integration – 2+ years of experience working with SQL dialects, query processing, and analytical engine integration.\n\nWorking hours: Must be available to work until 11:00 AM PST.","description_format":"text","description_chars":3338,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Ukraine","iso":"UA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-10T15:41:35Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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