{"id":738575,"url":"https://alion.io/job/rebeldot-senior-data-engineer","title":"Senior Data Engineer","company":{"id":689309,"name":"RebelDot","domain":"rebeldot.com","url":"https://alion.io/company/rebeldot","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":84,"open_postings":8,"ghost_share":0,"stale_share":0.625,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cluj-Napoca, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":68000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GDPR","optional":false},{"name":"MS SQL","optional":false},{"name":"Oracle","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-28T12:10:46Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-11-04T00:12:29Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":97},"description":"You might be our missing piece if you have:\n5+ years of experience in data engineering, database development, and cloud-based data solutions (especially on AWS).\n\nStrong proficiency in SQL (T-SQL, PL/SQL) and experience with database technologies (e.g., Oracle, SQL Server, Snowflake/Redshift, Databricks).\n\nHands-on experience with ETL/ELT tools and frameworks, including modern cloud integration services (e.g., AWS Glue, Apache Airflow or Azure Data Factory).\n\nExperience with data modeling, data integration, and data warehousing concepts.\n\nStrong programming skills in Python (e.g., Pandas, automation scripting) for ETL pipeline development.\n\nKnowledge of data governance and data quality frameworks, as well as security best practices for data (e.g., GDPR).\n\nExperience working in Agile development environments, with collaborative tools and iterative processes.\n\nWe would be thrilled if you have:\nStrong understanding of data lake architectures and advanced cloud-based data solutions (with depth in AWS data services).\n\nFamiliarity with high-performance query optimization techniques for large-scale datasets (e.g., query tuning, indexing strategies).\n\nExposure to data governance and metadata management systems (e.g., data catalog, lineage tools).\n\nExperience with real-time streaming data frameworks and messaging systems (e.g., Apache Kafka, Amazon Kinesis) for event processing and ingestion.\n\nExperience with Snowplow or similar event data tracking pipelines, including their implementation, maintenance, and optimization for behavioral data collection and analytics.\n\nKnowledge of big data processing frameworks (e.g., Apache Spark or Flink) and experience with CI/CD pipelines or Infrastructure-as-Code for data engineering projects.\n\nA sense of belonging while reading about our culture.\n\nWe will be working together on:\nDesigning, developing, and maintaining data pipelines - including both batch ETL processes and real-time streaming solutions - to support our product teams. 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