Salary Range: $80, To $96, AnnuallyEstablished in , 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 integral 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(MySQL/PostgreSQL/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 scriptsand 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 NiFi);

Experience withBI 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 BigQuery, 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). Softeq communicates only from @ softeq.Com email addresses. We never request payments or fees for any reason during hiring — including trainings or courses to be completed, equipment, onboarding, or background checks — and we will not ask for banking information, cryptocurrency or gift cards. If you receive a message from any other domain or requesting payment, do not respond and report it to ****

📌 Database Architect (Jalisco)
🏢 Softeq Development
📍 Jalisco