{"id":2305973,"url":"https://alion.io/job/kode-labs-data-engineer","title":"Data Engineer","company":{"id":4414432,"name":"Kode Labs","domain":"kodelabs.com","url":"https://alion.io/company/kode-labs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"BigQuery","optional":false},{"name":"ClickHouse","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-11T22:54:17Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T05:41:54Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Our team is hiring aData Engineer to join our EnerG team. Be a driving force behind our innovative cloud-based Building Management System (BMS) SaaS platform. You will play a pivotal role in shaping the future of energy management by architecting and developing the core data infrastructure. \nYou will be at the forefront of processing and managing a high volume of data, handling billions of data points monthly to deliver insightful metrics and Key Performance Indicators (KPIs). Your contributions will directly empower our platform's ability to provide actionable energy insights.\nIf you are a motivated Data Engineer with a strong passion for building and maintaining robust data infrastructure that facilitates seamless data processing, in-depth analysis, and impactful visualizations, we encourage you to explore this opportunity.\nWHAT YOU WILL DO\nDesign, develop, and maintain scalable data pipelines for efficient processing and storage of energy data.\n\nImplement data quality checks, monitor pipelines for issues, and ensure accuracy and completeness.\n\nExecute data cleaning processes to handle missing values, outliers, and inconsistencies, and standardize formats for consistency.\n\nAggregate data at various intervals (e.g., 15-min, hourly, daily) and transform it into key metrics like energy consumption and cost analysis.\n\nImplement algorithms to detect and remove anomalies, ensuring the integrity of data-driven insights.\n\nDevelop algorithms to create virtual meters by combining data from multiple sources or applying business rules.\n\nEnrich data with contextual information (e.g., weather, occupancy, utility rates) for deeper analysis.\n\nIdentify and address data gaps to ensure comprehensive reporting and analysis.\n\nAnalyze relationships between data sources to uncover correlations and insights for informed decision-making.\n\nPrepare data for dashboards, custom reports, and ad-hoc analysis; develop KPIs for ESG and energy metrics.\n\nEnsure compliance with industry standards like NABERS, LEED, and Energy Star for data collection and reporting.\n\nNormalize energy data based on external factors like weather to enable accurate comparisons.\n\nDevelop predictive models to forecast energy consumption and support resource management planning.\n\nRequirements\nWHAT YOU NEED TO SUCCEED\nProven experience in designing and building end-to-end data pipelines.\n\nHands-on experience with big data technologies, including but not limited to BigQuery, Apache Kafka, and Clickhouse.\n\nProficiency in programming languages such as Python or Java, with a strong emphasis on data manipulation and processing.\n\nDemonstrated experience in building configurable and adaptable data pipelines to meet evolving business needs.\n\nA strong understanding of data modeling principles and best practices.\n\nExcellent analytical and problem-solving skills with a keen attention to detail.\n\nAbility to collaborate effectively within a team environment and communicate technical concepts clearly.\n\nA proactive approach to learning and adapting to new technologies and challenges in the data engineering landscape.\n\nBenefits\nWHAT WE OFFER:\nCompetitive salary based on experience \n\nDiscretionary Bonus Program \n\nCareer Development Program \n\nComprehensive Health Insurance Package\n\nDynamic team and challenging projects \n\nFlexible Paid Time Off \n\nWelcoming and friendly work environment \n\nRegular social events and activities \n\nJOIN THE TEAM\nKODE Labs is a real estate technology company founded in 2017 with a mission to change the way people, buildings and systems operate. Headquartered in Detroit, Michigan, we are a driving force behind the adoption of smart building technology. To scale our presence in Detroit and across the Nation, we depend on our team of talented, ambitious people who go above and beyond to create value for our clients. \nWhen you join the KODE Labs team you can create your own career. Whether you have years of experience or are just starting, we help you realize your full potential and achieve your goals. \nIf KODE Labs sounds like the place for you, we’d love to hear your story, so please apply through our online application form. 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