Join to apply for the sr. Data engineer role at enroute we love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and try to improve it daily. We make things happen. You can trust us. Our enrouters are always up for a challenge. We ask questions, and we love to learn. We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and who you are as an individual. We get involved, we like to know our people, we want every enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people. We want you to enjoy working with us. At enroute, we’re looking for a data engineer who is passionate about data, technology, and building systems that make a real impact. You’ll be part of a collaborative and innovative environment, working with global companies to design, develop, and maintain robust data pipelines and architectures that enable better decisions and smarter solutions. What you’ll do design, develop, and maintain etl/elt pipelines that connect multiple data sources. Work with sql, python, and major cloud data warehouses (snowflake, redshift, bigquery, or similar). Develop and optimize data models to enable analytics and machine learning initiatives. Ensure data governance, quality, and security across all pipelines. Collaborate closely with cross-functional teams to translate business needs into data solutions. What we’re looking for 5 years of experience as a data engineer. Strong skills in sql and experience with both relational and non-relational databases. Hands‑on experience with data pipeline tools and cloud platforms. Python experience for data manipulation (pandas, pyspark, etc.). Familiarity with data visualization or reporting tools (power bi, looker, tableau, etc.). Strong communication skills and a proactive, problem‑solving mindset. Nice to have experience with real‑time streaming (kafka, kinesis, spark streaming). Knowledge of infrastructure as code (terraform, cloudformation). Exposure to machine learning or data science workflows. Experience in devops practices for data (ci/cd, monitoring). Benefits monetary compensation year‑end bonus imss, afore, infonavit major medical expenses insurance minor medical expenses insurance life insurance funeral expenses insurance preferential rates for car insurance tdu membership holidays and vacations sick days bereavement days civil marriage days maternity & paternity leave english and spanish classes performance management framework certifications talisis agreement: discounts at advenio, harmon hall, u‑erre, unid taquitos rewards amazon gift card on your birthday work‑from‑home bonus laptop policy equal employment enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Seniority level mid‑senior level employment type full‑time job function information technology industries it services and it consulting j-18808-ljbffr