salary range: $80,000.00 to $96,000.00 annually

established in 1997, softeq was built from the ground up to specialize in new product development and r&d;, tackling the most difficult problems in the tech sphere. Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a general scale. So let's get started and build a better future together!

we are looking for a strong data engineer who can work with a large amount of data and prepare it for the ml pipelines, provide data analysis and visualization, and continuously perform storage optimization tasks. Experience with different types of sql databases(my sql/postgre sql/mssql), knowledge of joins, inner selects, and index specification/creation to speed up requests.

responsibilities: design, develop, and maintain scalable data pipelines and etl processes to support analytics and business intelligence; write complex sql queries to extract, transform, and analyze large datasets from multiple sources; build and maintain dashboards, reports, and other data visualizations to deliver actionable insights to business stakeholders; collaborate with cross-functional teams, including engineering, product, and business units, to understand data needs and deliver robust solutions; perform exploratory data analysis (eda) to uncover trends, anomalies,



and opportunities for deeper investigation; ensure data quality and integrity through rigorous validation and data governance practices; develop scripts and tools using languages like python or r to automate workflows and conduct advanced data analyses; support data infrastructure improvements and contribute to the overall data architecture and design; document processes, data models, and pipelines for internal knowledge sharing and future reference. Requirements: proficiency in sql with the ability to write efficient, optimized queries for complex datasets; strong analytical skills with experience working with large-scale data environments (e.g., data warehouses, relational databases); programming experience in python, r, or another data-focused language; familiarity with etl tools and frameworks (e.g., airflow, dbt, apache ni fi); experience with bi platforms such as tableau, power bi, looker, or similar; solid understanding of data modeling, data warehousing concepts, and database design; experience working with cloud-based data platforms (e.g., aws redshift, google big query, snowflake); strong problem-solving abilities and attention to detail; excellent communication skills with the ability to translate technical findings into business insights; bachelor's degree in computer science, data science, statistics, engineering, or a related field (or equivalent work experience).

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📌 Database architect (Jalisco)
🏢 Softeq Development
📍 Jalisco