"Not at risk" does not mean 0 risk, it means negligible risk.
For example, if I was standing on a cruise ship, am I at risk for drowning? Not really, it's extremely unlikely that I would drown. Could I drown? For sure, I could fall in the ocean, or in the pool, or pass out into a bowl of soup. Despite the nonzero possibility of drowning, if someone saw me on the cruise ship waiting in line for the buffet and yelled "be careful, you are at risk of drowning" at me, I would think they had lost their mind.
But even though the risk of infection is low, I wouldn't say that a child is "not at risk" of contracting the disease if their dad catches it at work and brings it home.
I'd say that he's "at low risk", not "no risk".
Planes crash, the Airbus A380 has suffered 0 crashes, so would you interpret this to mean the A380 cannot crash?
Lets square up the analogy. So there are 0 deaths for children that get coronavirus, and about 1/5 of the cases have been among children.
Planes crash, and out of all the planes that have crashed about 1/5 of the passengers were children, if 0 of the children died would you interpret this to mean children can't die in plane crashes?
And yes, basically I would interpret it that way if it were true.
Ok, maybe I can make it closer to your analogy:
There were 0 deaths for children that get caronavirus, maybe you think children are much less likely than adults to die if infected? Planes crash, if the A380 has never crashed despite millions and millions of miles in service, would you interpret that to mean that an A380 is much less likely to crash than other plane models that have flown a similar number of miles and had a bunch of crashes?
Again, yes, that is just how statistics work.
What makes you think Google employees only care about themselves? You don't think they (and we) should care about the more vulnerable members of society that they will infect?